// SankeyMATIC diagram inputs - Saved: 17/11/2024, 21:09:32
// https://sankeymatic.com/build/

// === Nodes and Flows ===

Qin et al., 2021 [1] Expert demonstration
Da and Hua, 2023 [1] Expert demonstration
Z. Huang, Liu, et al., 2023 [1] Expert demonstration
Z. Huang, Wu, et al., 2023 [1] Expert demonstration
J. Liu, Qi, et al., 2024 [1] Expert demonstration
Nan et al., 2024 [1] Expert demonstration
Zhu and Zhao, 2023 [1] Expert demonstration

Crosato et al., 2021 [1] Markov Decision Process
Crosato, Shum, et al., 2023 [1] Markov Decision Process
Da and Hua, 2023 [1] Markov Decision Process
Ding et al., 2022 [1] Markov Decision Process
Z. Huang, Wu, et al., 2023 [1] Markov Decision Process
J. Liu, Zhou, et al., 2024 [1] Markov Decision Process
Peng et al., 2021 [1] Markov Decision Process
Song et al., 2016 [1] Markov Decision Process
Zong et al., 2023 [1] Markov Decision Process

Kothari and Alahi, 2023 [1] Attention Module
Attention Module [1] Deep Learning
Deep Learning [1] Machine Learning

J. Liu, Zhou, et al., 2024 [1] Attention Module
Attention Module [1] Deep Learning
Deep Learning [1] Machine Learning

Qin et al., 2021 [1] Attention Module
Attention Module [1] Deep Learning
Deep Learning [1] Machine Learning

Sadeghian et al., 2019 [1] Attention Module
Attention Module [1] Deep Learning
Deep Learning [1] Machine Learning

Vemula et al., 2018 [1] Attention Module
Attention Module [1] Deep Learning
Deep Learning [1] Machine Learning

Z. Wang et al., 2021 [1] Attention Module
Attention Module [1] Deep Learning
Deep Learning [1] Machine Learning

Xue et al., 2023 [1] Attention Module
Attention Module [1] Deep Learning
Deep Learning [1] Machine Learning



//68  Kolekar et al., 2020
Kolekar et al., 2020 [1] Involving Simulation
Kolekar et al., 2020 [1] Risk Field
Risk Field [1] Field-based Model
Kolekar et al., 2020 [1] Addressing Uncertainties


//67
Pérez-Dattari et al., 2022 [1] Involving Simulation
Pérez-Dattari et al., 2022 [1] Model Predictive Control
Pérez-Dattari et al., 2022 [1] LSTM
LSTM [1] Deep Learning
Deep Learning [1] Machine Learning

Pérez-Dattari et al., 2022 [1] CNN
CNN [1] Deep Learning
Deep Learning [1] Machine Learning


//66
Chen et al., 2024 [1] Involving Simulation
Chen et al., 2024 [1] Involving Empirical Data
Chen et al., 2024 [1] Social Force Model

//65
J. Liu, Zhou, et al., 2024 [1] Involving Simulation
J. Liu, Zhou, et al., 2024 [1] Coordination Tendency
Coordination Tendency [1] Employing Social Factor
J. Liu, Zhou, et al., 2024 [1] Autoencoder
Autoencoder [1] Deep Learning
Deep Learning [1] Machine Learning
J. Liu, Zhou, et al., 2024 [1] GRU
GRU [1] Deep Learning
Deep Learning [1] Machine Learning

J. Liu, Zhou, et al., 2024 [1] Actor-Critic
Actor-Critic [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning
J. Liu, Zhou, et al., 2024 [1] Proximal Policy Optimisation
Proximal Policy Optimisation [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning



//64
Xiao Wang et al., 2024 [1] Transformer
Transformer [1] Deep Learning
Deep Learning [1] Machine Learning
Xiao Wang et al., 2024 [1] Risk Field
Risk Field [1] Field-based Model
Xiao Wang et al., 2024 [1] Involving Simulation


//63
Sadeghian et al., 2019 [1] Involving Empirical Data
Sadeghian et al., 2019 [1] Generative Adversarial Network
Generative Adversarial Network [1] Deep Learning
Deep Learning [1] Machine Learning
Sadeghian et al., 2019 [1] LSTM
LSTM [1] Deep Learning
Deep Learning [1] Machine Learning



//62  Letian Wang et al.           L. Wang et al., 2021

Letian Wang et al., 2021 [1] Involving Simulation
Letian Wang et al., 2021 [1] Involving Empirical Data
Letian Wang et al., 2021 [1] Courtesy
Courtesy [1] Employing Social Factor
Letian Wang et al., 2021 [1] Stackelberg Game 
Stackelberg Game [1] Game Theory
Letian Wang et al., 2021 [1] Model Predictive Control
Letian Wang et al., 2021 [1] Addressing Uncertainties
Letian Wang et al., 2021 [1] Bayesian Inference

//61
Schwarting et al., 2019 [1] Involving Simulation
Schwarting et al., 2019 [1] Social Value Orientation
Social Value Orientation [1] Employing Social Factor
Schwarting et al., 2019 [1] Stackelberg Game 
Stackelberg Game [1] Game Theory
Schwarting et al., 2019 [1] Inverse Reinforcement Learning
Inverse Reinforcement Learning [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning
Schwarting et al., 2019 [1] Involving Empirical Data



//60
L. Zhang et al., 2023 [1] Involving Simulation
L. Zhang et al., 2023 [1] Social Value Orientation
Social Value Orientation [1] Employing Social Factor
L. Zhang et al., 2023 [1] Risk Field
Risk Field [1] Field-based Model
L. Zhang et al., 2023 [1] Model Predictive Control



//59  B. Huang & Sun   Huang and Sun, 2023
B. Huang and Sun, 2023 [1] Involving Empirical Data
B. Huang and Sun, 2023 [1] Transformer
Transformer [1] Deep Learning
Deep Learning [1] Machine Learning


//58 
Alahi et al., 2016 [1] Involving Empirical Data
Alahi et al., 2016 [1] LSTM
LSTM [1] Deep Learning
Deep Learning [1] Machine Learning
Alahi et al., 2016 [1] Social Pooling Layer
Social Pooling Layer [1] Deep Learning
Deep Learning [1] Machine Learning

//Social Pooling Layer: (Alahi et al., 2016; Gupta et al., 2018)

//57
Gupta et al., 2018 [1] Involving Empirical Data
Gupta et al., 2018 [1] LSTM
LSTM [1] Deep Learning
Deep Learning [1] Machine Learning
Gupta et al., 2018 [1] Generative Adversarial Network
Generative Adversarial Network [1] Deep Learning
Deep Learning [1] Machine Learning
Gupta et al., 2018 [1] Social Pooling Layer
Social Pooling Layer [1] Deep Learning
Deep Learning [1] Machine Learning



//56
Toghi et al., 2022 [1] Involving Simulation
Toghi et al., 2022 [1] Social Value Orientation
Social Value Orientation [1] Employing Social Factor
Toghi et al., 2022 [1] Deep Q-learning
Deep Q-learning [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning
Toghi et al., 2022 [1] Partially Observable Stochastic Game
Partially Observable Stochastic Game [1] Game Theory 


//55
Landolfi and Dragan, 2018 [1] Involving User Study
Landolfi and Dragan, 2018 [1] Involving Simulation
Landolfi and Dragan, 2018 [1] Model Predictive Control
Landolfi and Dragan, 2018 [1] Social Cohesion
Social Cohesion [1] Employing Social Factor

//54
Vemula et al., 2018 [1] Involving Empirical Data

Vemula et al., 2018 [1] LSTM
LSTM [1] Deep Learning
Deep Learning [1] Machine Learning


//53 Reddy, Malviya and Kala, 2021
Reddy et al., 2021 [1] Involving Simulation
Reddy et al., 2021 [1] Involving Controlled Field Test
Reddy et al., 2021 [1] Social Force Model
Reddy et al., 2021 [1] Potential Field
Potential Field [1] Field-based Model


// 52.
Buckman et al., 2019 [1] Involving Simulation
Buckman et al., 2019 [1] Social Value Orientation
Social Value Orientation [1] Employing Social Factor


//51 Kothari & Alahi
Kothari and Alahi, 2023 [1] Involving Empirical Data
Kothari and Alahi, 2023 [1] LSTM
LSTM [1] Deep Learning
Deep Learning [1] Machine Learning

Kothari and Alahi, 2023 [1] MLP
MLP [1] Deep Learning
Deep Learning [1] Machine Learning
Kothari and Alahi, 2023 [1] Generative Adversarial Network
Generative Adversarial Network [1] Deep Learning
Deep Learning [1] Machine Learning




//50 
M. Liu et al., 2024 [1] Involving Empirical Data
M. Liu et al., 2024 [1] Involving Simulation
M. Liu et al., 2024 [1] Potential Game 
Potential Game [1] Game Theory

M. Liu et al., 2024 [1] Nash Equilibrium-based Game 
Nash Equilibrium-based Game [1] Game Theory


//49
Hirose et al., 2024 [1] Minimizing Counterfactual Perturbation
Hirose et al., 2024 [1] Involving Empirical Data
Hirose et al., 2024 [1] CNN
CNN [1] Deep Learning
Deep Learning [1] Machine Learning


//48
Liu et al., 2020 [1] Involving Simulation
Liu et al., 2020 [1] Actor-Critic
Actor-Critic [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning
Liu et al., 2020 [1] Involving Controlled Field Test

//47
Zhou et al., 2022 [1] Reasoning Graph

//46
Larsson et al., 2021 [1] Involving Simulation
Larsson et al., 2021 [1] Model Predictive Control
Larsson et al., 2021 [1] Non-Convex Mixed-Integer Nonlinear Program


//45
Ferrer and Sanfeliu, 2014 [1] Involving Simulation
Ferrer and Sanfeliu, 2014 [1] Social Force Model


//44
Valiente et al., 2024 [1] CNN
CNN [1] Deep Learning
Deep Learning [1] Machine Learning

Valiente et al., 2024 [1] Involving Simulation
Valiente et al., 2024 [1] Social Value Orientation
Social Value Orientation [1] Employing Social Factor

Valiente et al., 2024 [1] Gaussian Process
Valiente et al., 2024 [1] Autoencoder
Autoencoder [1] Deep Learning
Deep Learning [1] Machine Learning



//43. ADD 

//Lingguang Wang et al., 2023a
// Wang, Fernandez and Stiller, 2023a

Lingguang Wang et al., 2023a [1] Involving Simulation
Lingguang Wang et al., 2023a [1] Involving Empirical Data
Lingguang Wang et al., 2023a [1] Monte-Carlo Sampling
Lingguang Wang et al., 2023a [1] Behavior Cloning



//42 
Geng et al., 2023 [1] Involving Empirical Data
Geng et al., 2023 [1] Transformer
Transformer [1] Deep Learning
Deep Learning [1] Machine Learning

Geng et al., 2023 [1] Inverse Reinforcement Learning
Inverse Reinforcement Learning [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning

Geng et al., 2023 [1] Risk Field
Risk Field [1] Field-based Model




//41 Bhatt et al., 2022   Bhatt, Khajepour and Hashemi, 2022
Bhatt et al., 2022 [1] Involving Simulation
Bhatt et al., 2022 [1] Potential Field
Potential Field [1] Field-based Model
Bhatt et al., 2022 [1] Model Predictive Control


//40.
//(Lingguang Wang et al., 2023b)
// Wang, Fernandez and Stiller, 2023b

Lingguang Wang et al., 2023b [1] Involving Simulation
Lingguang Wang et al., 2023b [1] Involving Empirical Data
Lingguang Wang et al., 2023b [1] Monte-Carlo Sampling
Lingguang Wang et al., 2023b [1] Behavior Cloning



//39.
Peng et al., 2021 [1] Involving Simulation
Peng et al., 2021 [1] Social Value Orientation
Social Value Orientation [1] Employing Social Factor
Peng et al., 2021 [1] Coordinated Policy Optimization
Coordinated Policy Optimization [1]  Reinforcement Learning
Reinforcement Learning [1] Machine Learning



//38 Zhu and Zhao, 2023   Z. Zhu & Zhao, 2023
Z. Zhu and Zhao, 2023 [1] MLP
MLP [1] Deep Learning
Deep Learning [1] Machine Learning
Z. Zhu and Zhao, 2023 [1] Involving Simulation
Z. Zhu and Zhao, 2023 [1] Involving Empirical Data



//37
Kothari et al., 2021 [1] LSTM
LSTM [1] Deep Learning
Deep Learning [1] Machine Learning

Kothari et al., 2021 [1] Social Anchor
Social Anchor [1] Employing Social Factor 
Kothari et al., 2021 [1] Discrete Choice Model
Kothari et al., 2021 [1] Involving Empirical Data




//36
Nan et al., 2024 [1] Deep Q-learning
Deep Q-learning [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning
Nan et al., 2024 [1] Inverse Reinforcement Learning
Inverse Reinforcement Learning [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning

Nan et al., 2024 [1] Involving Empirical Data



//35
Crosato, Shum, et al., 2023 [1] Involving Simulation
Crosato, Shum, et al., 2023 [1] Proximal Policy Optimisation
Proximal Policy Optimisation [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning
Crosato, Shum, et al., 2023 [1] Actor-Critic
Actor-Critic [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning
Crosato, Shum, et al., 2023 [1] Social Value Orientation
Social Value Orientation [1] Employing Social Factor
Crosato, Shum, et al., 2023 [1] Social Force Model




//34 Song, Xiong and Chen, 2016 
Song et al., 2016 [1] Involving Simulation


//33
Taghavifar and Mohammadzadeh, 2024 [1] Involving Simulation
Taghavifar and Mohammadzadeh, 2024 [1] Social Value Orientation
Social Value Orientation [1] Employing Social Factor
Taghavifar and Mohammadzadeh, 2024 [1] Deep Q-learning
Deep Q-learning [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning


//32
Zhao et al., 2024 [1] Involving Simulation
Zhao et al., 2024 [1] Involving Empirical Data
Zhao et al., 2024 [1] Social Value Orientation
Social Value Orientation [1] Employing Social Factor
Zhao et al., 2024 [1] Potential Field
Potential Field [1] Field-based Model
Zhao et al., 2024 [1] Stackelberg Game 
Stackelberg Game [1] Game Theory
Zhao et al., 2024 [1] Inverse Reinforcement Learning
Inverse Reinforcement Learning [1] Reinforcement Learning



//31
Hang et al., 2021 [1] Involving Simulation
Hang et al., 2021 [1] Involving Empirical Data
Hang et al., 2021 [1] Nash Equilibrium-based Game
Nash Equilibrium-based Game [1] Game Theory
Hang et al., 2021 [1] Stackelberg Game 
Stackelberg Game [1] Game Theory
Hang et al., 2021 [1] Model Predictive Control

Hang et al., 2021 [1] Potential Field
Potential Field [1] Field-based Model


//30
Tong et al., 2024 [1] Involving Simulation
Tong et al., 2024 [1] Social Value Orientation
Social Value Orientation [1] Employing Social Factor

Tong et al., 2024 [1] Actor-Critic
Actor-Critic [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning



//29
Zong et al., 2023 [1] Involving Simulation
Zong et al., 2023 [1] Actor-Critic
Actor-Critic [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning

Zong et al., 2023 [1] GRU
GRU [1] Deep Learning
Deep Learning [1] Machine Learning 



//28
Crosato et al., 2021 [1] Involving Simulation
Crosato et al., 2021 [1] Social Value Orientation
Social Value Orientation [1] Employing Social Factor
Crosato et al., 2021 [1] Actor-Critic
Actor-Critic [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning


//27
Shu et al., 2023 [1] Nash Equilibrium-based Game
Nash Equilibrium-based Game [1] Game Theory
Shu et al., 2023 [1] Involving Empirical Data
Shu et al., 2023 [1] Involving Simulation



//26   
//X. Wang et al., 2024 format
Xueyang Wang et al., 2024 [1] LSTM
LSTM [1] Deep Learning
Deep Learning [1] Machine Learning

Xueyang Wang et al., 2024 [1] Graph Attention Network
Graph Attention Network [1] Deep Learning
Deep Learning [1] Machine Learning
Xueyang Wang et al., 2024 [1] Involving Empirical Data

//25
Galati et al., 2022 [1] Nash Equilibrium-based Game
Nash Equilibrium-based Game [1] Game Theory



//24
//Ding et al., 2022 [1] Markov Decision Process 
Ding et al., 2022 [1] LSTM
LSTM [1] Deep Learning
Deep Learning [1] Machine Learning
Ding et al., 2022 [1] CNN
CNN [1] Deep Learning
Deep Learning [1] Machine Learning
Ding et al., 2022 [1] Involving Empirical Data
Ding et al., 2022 [1] Involving Controlled Field Test



//23     J. Liu, Qi, et al., 2024 注意不同的citation format
//J. Liu et al., 2024
//J. Liu et al., 2024 [1] Involving Empirical Data
//J. Liu et al., 2024 [1] Involving Simulation
//J. Liu et al., 2024 [1] Nash Equilibrium-based Game
//Nash Equilibrium-based Game [1] Game Theory
//J. Liu et al., 2024 [1] Genetic Algorithm //check  

//J. Liu, Qi, et al., 2024
J. Liu, Qi, et al., 2024 [1] Involving Empirical Data
J. Liu, Qi, et al., 2024 [1] Involving Simulation
J. Liu, Qi, et al., 2024 [1] Nash Equilibrium-based Game
Nash Equilibrium-based Game [1] Game Theory
J. Liu, Qi, et al., 2024 [1] Genetic Algorithm


//22  
//C. Li et al., 2022
//Li et al., 2022
C. Li et al., 2022 [1] Bayesian Inference
C. Li et al., 2022 [1] Stackelberg Game
Stackelberg Game [1] Game Theory
C. Li et al., 2022 [1] Courtesy
Courtesy [1] Employing Social Factor

C. Li et al., 2022 [1] Involving Empirical Data


//21    
//Z. Huang, Wu, et al., 2023
//Huang, Wu and Lv, 2023
Z. Huang, Wu, et al., 2023 [1] Actor-Critic
Actor-Critic [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning

Z. Huang, Wu, et al., 2023 [1] Deep Q-learning
Deep Q-learning [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning

Z. Huang, Wu, et al., 2023 [1] Involving Simulation
Z. Huang, Wu, et al., 2023 [1] Addressing Uncertainties



//20
Chang et al., 2023 [1] Courtesy
Courtesy [1] Employing Social Factor

Chang et al., 2023 [1] Involving Empirical Data
Chang et al., 2023 [1] LSTM
LSTM [1] Deep Learning
Deep Learning [1] Machine Learning
Chang et al., 2023 [1] MLP
MLP [1] Deep Learning
Deep Learning [1] Machine Learning


//19
Hang, Huang, et al., 2022b [1] Involving Simulation
Hang, Huang, et al., 2022b [1] Potential Field
Potential Field [1] Field-based Model

Hang, Huang, et al., 2022b [1] Stackelberg Game 
Stackelberg Game [1] Game Theory
Hang, Huang, et al., 2022b [1] Nash Equilibrium-based Game
Nash Equilibrium-based Game [1] Game Theory



//18 
//C. Xu et al., 2023
//Xu et al., 2023
C. Xu et al., 2023 [1] Involving Simulation
C. Xu et al., 2023 [1] Particle Filtering
C. Xu et al., 2023 [1] Inverse Reinforcement Learning
Inverse Reinforcement Learning [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning



//17 Sanchez Garcia and Araujo, 2021 Oliveira et al., 2019
Oliveira et al., 2019 [1] Involving Controlled Field Test

//16
Yan et al., 2022 [1] Involving Simulation
Yan et al., 2022 [1] Potential Field
Potential Field [1] Field-based Model
Yan et al., 2022 [1] Model Predictive Control


//15 
Wang et al., 2024 [1] Finite State Machine
Wang et al., 2024 [1] Involving Simulation

//14 
Qin et al., 2021 [1] CNN
CNN [1] Deep Learning
Deep Learning [1] Machine Learning
Qin et al., 2021 [1] Involving Empirical Data



//13
Hang, Huang, et al., 2022a [1] Coalitional Game
Coalitional Game [1] Game Theory
Hang, Huang, et al., 2022a [1] Model Predictive Control
Hang, Huang, et al., 2022a [1] Potential Field
Potential Field [1] Field-based Model


//12
Da and Hua, 2023 [1] Generative Adversarial Network
Generative Adversarial Network [1] Deep Learning
Deep Learning [1] Machine Learning
Da and Hua, 2023 [1] LSTM
LSTM [1] Deep Learning
Deep Learning [1] Machine Learning
Da and Hua, 2023 [1] Involving Simulation
Da and Hua, 2023 [1] MLP
MLP [1] Deep Learning
Deep Learning [1] Machine Learning



//11
Sun et al., 2018 [1] Inverse Reinforcement Learning
Inverse Reinforcement Learning [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning

Sun et al., 2018 [1] Model Predictive Control
Sun et al., 2018 [1] Involving Simulation
Sun et al., 2018 [1] Involving Empirical Data
Sun et al., 2018 [1] Courtesy
Courtesy [1] Employing Social Factor



//10
Hang, Lv, et al., 2022 [1] Coalitional Game
Coalitional Game [1] Game Theory
Hang, Lv, et al., 2022 [1] Model Predictive Control
Hang, Lv, et al., 2022 [1] Involving Simulation



// 9
Toghi et al., 2021b [1] Deep Q-learning
Deep Q-learning [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning

Toghi et al., 2021b [1] Involving Simulation
Toghi et al., 2021b [1] Partially Observable Stochastic Game
Partially Observable Stochastic Game [1] Game Theory 
// Partially Observable Stochastic Games (POSG)


//8  Z. Huang, Liu, et al., 2023  Huang et al., 2023
Z. Huang, Liu, et al., 2023 [1] Inverse Reinforcement Learning
Inverse Reinforcement Learning [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning

Z. Huang, Liu, et al., 2023 [1] Transformer
Transformer [1] Deep Learning 
Deep Learning [1] Machine Learning

Z. Huang, Liu, et al., 2023 [1] Involving Empirical Data

//7
Sun et al., 2019 [1] Inverse Reinforcement Learning
Inverse Reinforcement Learning [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning

Sun et al., 2019 [1] Involving Simulation
Sun et al., 2019 [1] Model Predictive Control
Sun et al., 2019 [1] Addressing Uncertainties

//6
Lu et al., 2022 [1] Deep Q-learning
Deep Q-learning [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning

Lu et al., 2022 [1] Involving Simulation
Lu et al., 2022 [1] Social Preference
Social Preference [1] Employing Social Factor


//5
Hang et al., 2020 [1] Stackelberg Game 
Stackelberg Game [1] Game Theory

Hang et al., 2020 [1] Model Predictive Control
Hang et al., 2020 [1] Potential Field
Potential Field [1] Field-based Model



//4
Toghi et al., 2021a [1] Social Value Orientation
Social Value Orientation [1] Employing Social Factor
Toghi et al., 2021a [1] Actor-Critic
Actor-Critic [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning

Toghi et al., 2021a [1] Involving Simulation



//3
Xue et al., 2023 [1] Social Value Orientation
Social Value Orientation [1] Employing Social Factor

Xue et al., 2023 [1] Partially Observable Stochastic Game
Partially Observable Stochastic Game [1] Game Theory

Xue et al., 2023 [1] Actor-Critic
Actor-Critic [1] Reinforcement Learning
Reinforcement Learning [1] Machine Learning


//2
//(J. Wang et al., 2023)
//Wang et al., 2023
J. Wang et al., 2023 [1] Nash Equilibrium-based Game
Nash Equilibrium-based Game [1] Game Theory
 // Nash equilibrium
J. Wang et al., 2023 [1] Model Predictive Control
J. Wang et al., 2023 [1] Bayesian Inference
J. Wang et al., 2023 [1] Risk Field
Risk Field [1] Field-based Model

J. Wang et al., 2023 [1] Involving Simulation
J. Wang et al., 2023 [1] Involving Empirical Data


//1
Z. Wang et al., 2021 [1] Generative Adversarial Network
Generative Adversarial Network [1] Deep Learning
Deep Learning [1] Machine Learning
Z. Wang et al., 2021 [1] Involving Simulation
Z. Wang et al., 2021 [1] Involving Empirical Data




//move Huang et al., 2023 -0.00716, -0.02053
//move Huang, Wu and Lv, 2023 -0.00818, -0.01533
//move Vemula et al., 2018 0, 0.00616

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move Gaussian Process 0.66976, -0.02497
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move Non-Convex Mixed-Integer Nonlinear Program 0.67699, 0.03285
move Behavior Cloning 0.6708, -0.00842
move Coalitional Game 0.45533, -0.03635
move Bayesian Inference 0.6708, 0.05582
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move Addressing Uncertainties 0.6677, 0.05702
move Involving Empirical Data 0.66667, 0.0121
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move Vemula et al., 2018 0, -0.01174
move Zhou et al., 2022 -0.00307, 0.01469
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move Involving Simulation 0.6708, -0.07139
move Expert demonstration 0.6677, 0.03729
move Attention Module 0.35385, -0.09063
move Proximal Policy Optimisation 0.35502, -0.14848
move CNN 0.35392, -0.11796
move Generative Adversarial Network 0.35392, -0.05946
move Coordination Tendency 0.43923, 0.16598
move MLP 0.35392, -0.12282
move Actor-Critic 0.354, -0.10955
move Coordinated Policy Optimization 0.354, -0.24359
move LSTM 0.35393, -0.11007
move Deep Q-learning 0.35407, -0.25553
move Social Pooling Layer 0.35291, -0.0931
move Transformer 0.35298, -0.15912
move Inverse Reinforcement Learning 0.35407, -0.25539
move Social Value Orientation 0.43822, 0.01272
move Deep Learning 0.23451, -0.14173
move Reinforcement Learning 0.23467, -0.14757
move Social Preference 0.43819, 0.01465
move Social Anchor 0.43927, 0.17016
move Particle Filtering 0.66976, -0.04158
move Genetic Algorithm 0.66873, 0.04933
move Courtesy 0.43827, 0.01244
move Partially Observable Stochastic Game 0.45568, 0.08951
move Discrete Choice Model 0.67596, 0.08932
move Finite State Machine 0.66667, -0.00752
move Risk Field 0.42018, 0.20398
move Potential Field 0.42022, 0.12619
move Potential Game 0.45489, 0.07606
move Nash Equilibrium-based Game 0.45467, 0.05751
move Stackelberg Game 0.45479, 0.01976
move Involving User Study 0.68215, 0.0367
move Gupta et al., 2018 -0.00102, -0.02039
move Sadeghian et al., 2019 -0.00102, -0.01966
move Qin et al., 2021 -0.00103, -0.00617
move Da and Hua, 2023 -0.00103, -0.00676
move Ding et al., 2022 -0.00207, -0.00563
move Xueyang Wang et al., 2024 -0.00207, -0.0157
move Alahi et al., 2016 0, -0.01795
move Hirose et al., 2024 0, -0.01402
move Larsson et al., 2021 0, 0.00729
move Landolfi and Dragan, 2018 0, 0.00787
move Hang, Lv, et al., 2022 0, 0.00561
move Yan et al., 2022 0, 0.00224
move Kothari and Alahi, 2023 -0.00102, -0.0197
move Bhatt et al., 2022 0, 0.00112
move Liu et al., 2020 0, 0.01346
move Z. Wang et al., 2021 -0.01534, 0.00955
move Kothari et al., 2021 -0.00103, -0.00505
move Z. Huang, Wu, et al., 2023 0, 0.00113
move J. Liu, Zhou, et al., 2024 0, -0.0017
move Zong et al., 2023 0, -0.00281
move Z. Huang, Liu, et al., 2023 0, -0.00281
move B. Huang and Sun, 2023 0, -0.00112
move Hang, Huang, et al., 2022b 0, -0.00281
move L. Zhang et al., 2023 0, -0.00337
move Hang et al., 2021 -0.0031, -0.00338
move J. Wang et al., 2023 -0.0031, -0.00225
move Wang et al., 2024 -0.00103, -0.00224
move Sun et al., 2018 0, 0.00113
move Taghavifar and Mohammadzadeh, 2024 0, 0.00056
move C. Xu et al., 2023 0, 0.00168
move Ferrer and Sanfeliu, 2014 0, 0.00112
move J. Liu, Qi, et al., 2024 0, -0.00113
move Chen et al., 2024 0, -0.00056
move Tong et al., 2024 0, -0.00056
move Toghi et al., 2021a 0, -0.00056