ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1807.09936
  4. Cited By
Multi-Agent Generative Adversarial Imitation Learning

Multi-Agent Generative Adversarial Imitation Learning

26 July 2018
Jiaming Song
Hongyu Ren
Dorsa Sadigh
Stefano Ermon
    GAN
ArXivPDFHTML

Papers citing "Multi-Agent Generative Adversarial Imitation Learning"

50 / 103 papers shown
Title
Act Natural! Extending Naturalistic Projection to Multimodal Behavior Scenarios
Act Natural! Extending Naturalistic Projection to Multimodal Behavior Scenarios
Hamzah I. Khan
David Fridovich-Keil
23
0
0
03 May 2025
Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Models Using Implicit Feedback from Pre-training Demonstrations
Direct Post-Training Preference Alignment for Multi-Agent Motion Generation Models Using Implicit Feedback from Pre-training Demonstrations
Ran Tian
Kratarth Goel
41
0
0
25 Mar 2025
Imitation Learning of Correlated Policies in Stackelberg Games
Imitation Learning of Correlated Policies in Stackelberg Games
Kunag-Da Wang
Ping-Chun Hsieh
Wen-Chih Peng
43
0
0
11 Mar 2025
Reliable and Efficient Multi-Agent Coordination via Graph Neural Network Variational Autoencoders
Yue Meng
Nathalie Majcherczyk
Wenliang Liu
Scott Kiesel
Chuchu Fan
Federico Pecora
GNN
74
0
0
04 Mar 2025
Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
Sangwon Seo
Vaibhav Unhelkar
62
1
0
24 Feb 2025
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent
  Models in Autonomous Highway Driving Simulations
Analyzing Closed-loop Training Techniques for Realistic Traffic Agent Models in Autonomous Highway Driving Simulations
Matthias Bitzer
Reinis Cimurs
Benjamin Coors
Johannes Goth
Sebastian Ziesche
Philipp Geiger
Maximilian Naumann
31
0
0
21 Oct 2024
Grounded Answers for Multi-agent Decision-making Problem through
  Generative World Model
Grounded Answers for Multi-agent Decision-making Problem through Generative World Model
Zeyang Liu
Xinrui Yang
Shiguang Sun
Long Qian
Lipeng Wan
Xingyu Chen
Xuguang Lan
22
2
0
03 Oct 2024
Enabling Multi-Robot Collaboration from Single-Human Guidance
Enabling Multi-Robot Collaboration from Single-Human Guidance
Zhengran Ji
Lingyu Zhang
Paul Sajda
Boyuan Chen
34
1
0
30 Sep 2024
Learning-accelerated A* Search for Risk-aware Path Planning
Learning-accelerated A* Search for Risk-aware Path Planning
Jun Xiang
Junfei Xie
Jun Chen
19
4
0
18 Sep 2024
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
MAPF-GPT: Imitation Learning for Multi-Agent Pathfinding at Scale
Anton Andreychuk
Konstantin Yakovlev
Aleksandr I. Panov
A. Skrynnik
AI4CE
65
3
0
29 Aug 2024
Learning to Imitate Spatial Organization in Multi-robot Systems
Learning to Imitate Spatial Organization in Multi-robot Systems
Ayomide O. Agunloye
Sarvapali D. Ramchurn
Mohammad D. Soorati
24
0
0
16 Jul 2024
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
Multi-Agent Imitation Learning: Value is Easy, Regret is Hard
Jingwu Tang
Gokul Swamy
Fei Fang
Zhiwei Steven Wu
31
1
0
06 Jun 2024
Act Natural! Projecting Autonomous System Trajectories Into Naturalistic
  Behavior Sets
Act Natural! Projecting Autonomous System Trajectories Into Naturalistic Behavior Sets
Hamzah I. Khan
Adam J. Thorpe
David Fridovich-Keil
18
1
0
29 May 2024
Conditional Latent ODEs for Motion Prediction in Autonomous Driving
Conditional Latent ODEs for Motion Prediction in Autonomous Driving
Khang Truong Giang
Yongjae Kim
Andrea Finazzi
BDL
24
1
0
29 May 2024
Select to Perfect: Imitating desired behavior from large multi-agent
  data
Select to Perfect: Imitating desired behavior from large multi-agent data
Tim Franzmeyer
Edith Elkind
Philip H. S. Torr
Jakob N. Foerster
Joao Henriques
38
2
0
06 May 2024
Imitation Learning: A Survey of Learning Methods, Environments and
  Metrics
Imitation Learning: A Survey of Learning Methods, Environments and Metrics
Nathan Gavenski
Odinaldo Rodrigues
Michael Luck
26
135
0
30 Apr 2024
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal
  Control
MTLight: Efficient Multi-Task Reinforcement Learning for Traffic Signal Control
Liwen Zhu
Peixi Peng
Zongqing Lu
Yonghong Tian
19
2
0
01 Apr 2024
LASIL: Learner-Aware Supervised Imitation Learning For Long-term
  Microscopic Traffic Simulation
LASIL: Learner-Aware Supervised Imitation Learning For Long-term Microscopic Traffic Simulation
Ke Guo
Zhenwei Miao
Wei Jing
Weiwei Liu
Weizi Li
Dayang Hao
Jia Pan
44
8
0
26 Mar 2024
AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents
AnySkill: Learning Open-Vocabulary Physical Skill for Interactive Agents
Jieming Cui
Tengyu Liu
Nian Liu
Yaodong Yang
Yixin Zhu
Siyuan Huang
59
21
0
19 Mar 2024
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning
Peihong Yu
Manav Mishra
Alec Koppel
Carl E. Busart
Priya Narayan
Dinesh Manocha
Amrit Singh Bedi
Pratap Tokekar
29
4
0
13 Mar 2024
Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and
  Opportunities
Generative AI for Unmanned Vehicle Swarms: Challenges, Applications and Opportunities
Guangyuan Liu
Nguyen Van Huynh
Hongyang Du
D. Hoang
Dusit Niyato
Kun Zhu
Jiawen Kang
Zehui Xiong
Abbas Jamalipour
Dong In Kim
52
13
0
28 Feb 2024
Scalable Interactive Machine Learning for Future Command and Control
Scalable Interactive Machine Learning for Future Command and Control
Anna Madison
Ellen R. Novoseller
Vinicius G. Goecks
Benjamin T. Files
Nicholas R. Waytowich
Alfred Yu
Vernon J. Lawhern
Steven Thurman
Christopher Kelshaw
Kaleb McDowell
27
4
0
09 Feb 2024
Multi-Agent Generative Adversarial Interactive Self-Imitation Learning
  for AUV Formation Control and Obstacle Avoidance
Multi-Agent Generative Adversarial Interactive Self-Imitation Learning for AUV Formation Control and Obstacle Avoidance
Zheng Fang
Tianhao Chen
Dongqian Jiang
Zheng Zhang
Guangliang Li
11
2
0
21 Jan 2024
MAAIP: Multi-Agent Adversarial Interaction Priors for imitation from
  fighting demonstrations for physics-based characters
MAAIP: Multi-Agent Adversarial Interaction Priors for imitation from fighting demonstrations for physics-based characters
Mohamed Younes
Ewa Kijak
R. Kulpa
Simon Malinowski
Franck Multon
AI4CE
32
2
0
04 Nov 2023
Diverse Conventions for Human-AI Collaboration
Diverse Conventions for Human-AI Collaboration
Bidipta Sarkar
Andy Shih
Dorsa Sadigh
23
5
0
24 Oct 2023
Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation
  Learning
Inverse Factorized Q-Learning for Cooperative Multi-agent Imitation Learning
The Viet Bui
Tien Mai
Thanh Hong Nguyen
18
2
0
10 Oct 2023
All by Myself: Learning Individualized Competitive Behaviour with a
  Contrastive Reinforcement Learning optimization
All by Myself: Learning Individualized Competitive Behaviour with a Contrastive Reinforcement Learning optimization
Pablo V. A. Barros
A. Sciutti
SSL
25
3
0
02 Oct 2023
A Survey of Imitation Learning: Algorithms, Recent Developments, and
  Challenges
A Survey of Imitation Learning: Algorithms, Recent Developments, and Challenges
Maryam Zare
P. Kebria
Abbas Khosravi
Saeid Nahavandi
18
81
0
05 Sep 2023
Mimicking To Dominate: Imitation Learning Strategies for Success in
  Multiagent Competitive Games
Mimicking To Dominate: Imitation Learning Strategies for Success in Multiagent Competitive Games
The Viet Bui
Tien Mai
T. Nguyen
11
1
0
20 Aug 2023
ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario
  Simulation and Modeling
ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling
Quanyi Li
Zhenghao Peng
Lan Feng
Zhizheng Liu
Chenda Duan
Wen-An Mo
Bolei Zhou
25
44
0
21 Jun 2023
SRL-ORCA: A Socially Aware Multi-Agent Mapless Navigation Algorithm In
  Complex Dynamic Scenes
SRL-ORCA: A Socially Aware Multi-Agent Mapless Navigation Algorithm In Complex Dynamic Scenes
Jianmin Qin
Jiahu Qin
Jiaxin Qiu
Qingchen Liu
Man Li
Qichao Ma
64
10
0
18 Jun 2023
Long-term Microscopic Traffic Simulation with History-Masked Multi-agent
  Imitation Learning
Long-term Microscopic Traffic Simulation with History-Masked Multi-agent Imitation Learning
Ke Guo
Wei Jing
Lingping Gao
Weiwei Liu
Weizi Li
Jia-Yu Pan
AI4CE
13
4
0
10 Jun 2023
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed
  Multi-Agent Reinforcement Learning
iPLAN: Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning
Xiyang Wu
Rohan Chandra
Tianrui Guan
Amrit Singh Bedi
Dinesh Manocha
32
4
0
09 Jun 2023
Adaptive action supervision in reinforcement learning from real-world
  multi-agent demonstrations
Adaptive action supervision in reinforcement learning from real-world multi-agent demonstrations
Keisuke Fujii
Kazushi Tsutsui
Atom Scott
Hiroshi Nakahara
Naoya Takeishi
Yoshinobu Kawahara
21
6
0
22 May 2023
An Imitation Learning Based Algorithm Enabling Priori Knowledge Transfer in Modern Electricity Markets for Bayesian Nash Equilibrium Estimation
Ziqing Zhu
K. Chan
S. Bu
Ze Hu
S. Xia
13
2
0
04 May 2023
Automated Task-Time Interventions to Improve Teamwork using Imitation
  Learning
Automated Task-Time Interventions to Improve Teamwork using Imitation Learning
Sang-Wook Seo
Bing-zheng Han
Vaibhav Unhelkar
27
6
0
01 Mar 2023
K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent
  State-Action Pairs
K-SHAP: Policy Clustering Algorithm for Anonymous Multi-Agent State-Action Pairs
Andrea Coletta
Svitlana Vyetrenko
T. Balch
OffRL
14
7
0
23 Feb 2023
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual
  Intrinsic Reward Mixing Network
AIIR-MIX: Multi-Agent Reinforcement Learning Meets Attention Individual Intrinsic Reward Mixing Network
Wei Li
Weiyan Liu
Shitong Shao
Shiyi Huang
18
3
0
19 Feb 2023
Global Nash Equilibrium in Non-convex Multi-player Game: Theory and
  Algorithms
Global Nash Equilibrium in Non-convex Multi-player Game: Theory and Algorithms
Guanpu Chen
Gehui Xu
Fengxiang He
Yiguang Hong
Leszek Rutkowski
Dacheng Tao
19
5
0
19 Jan 2023
Show me what you want: Inverse reinforcement learning to automatically
  design robot swarms by demonstration
Show me what you want: Inverse reinforcement learning to automatically design robot swarms by demonstration
Ilyes Gharbi
Jonas Kuckling
D. G. Ramos
Mauro Birattari
9
7
0
17 Jan 2023
A first-order augmented Lagrangian method for constrained minimax
  optimization
A first-order augmented Lagrangian method for constrained minimax optimization
Zhaosong Lu
Sanyou Mei
21
6
0
05 Jan 2023
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow
Zhengbang Zhu
Shenyu Zhang
Yuzheng Zhuang
Yuecheng Liu
Minghuan Liu
...
Bin Wang
S. Cheng
Xinyu Wang
Jianye Hao
Yong Yu
6
8
0
07 Nov 2022
Imitating Opponent to Win: Adversarial Policy Imitation Learning in
  Two-player Competitive Games
Imitating Opponent to Win: Adversarial Policy Imitation Learning in Two-player Competitive Games
Viet The Bui
Tien Mai
T. Nguyen
AAML
25
5
0
30 Oct 2022
Sample-Efficient Multi-Agent Reinforcement Learning with Demonstrations
  for Flocking Control
Sample-Efficient Multi-Agent Reinforcement Learning with Demonstrations for Flocking Control
Yunbo Qiu
Yuzhu Zhan
Yue Jin
Jian Wang
Xudong Zhang
26
6
0
17 Sep 2022
Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking
  Control
Sub-optimal Policy Aided Multi-Agent Reinforcement Learning for Flocking Control
Yunbo Qiu
Yue Jin
Jian Wang
Xudong Zhang
16
1
0
17 Sep 2022
DistSPECTRL: Distributing Specifications in Multi-Agent Reinforcement
  Learning Systems
DistSPECTRL: Distributing Specifications in Multi-Agent Reinforcement Learning Systems
Joe Eappen
Suresh Jagannathan
12
3
0
28 Jun 2022
DM$^2$: Decentralized Multi-Agent Reinforcement Learning for
  Distribution Matching
DM2^22: Decentralized Multi-Agent Reinforcement Learning for Distribution Matching
Caroline Wang
Ishan Durugkar
Elad Liebman
Peter Stone
16
5
0
01 Jun 2022
Learning to Advise and Learning from Advice in Cooperative Multi-Agent
  Reinforcement Learning
Learning to Advise and Learning from Advice in Cooperative Multi-Agent Reinforcement Learning
Yue Jin
Shuangqing Wei
Jian Yuan
Xudong Zhang
12
0
0
23 May 2022
Generalizing to New Tasks via One-Shot Compositional Subgoals
Generalizing to New Tasks via One-Shot Compositional Subgoals
Xihan Bian
Oscar Alejandro Mendez Maldonado
Simon Hadfield
CLL
OffRL
27
1
0
16 May 2022
Semi-Supervised Imitation Learning of Team Policies from Suboptimal
  Demonstrations
Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations
Sang-Wook Seo
Vaibhav Unhelkar
OffRL
22
5
0
05 May 2022
123
Next