Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

7 June 2017

Pieter Abbeel

Papers citing "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

50 / 636 papers shown

Title
Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on Videos Xingxing Wei Songping Wang Huanqian Yan AAML 26 15 0 03 Jan 2023
Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse over Wireless Communications Wen-li Yu Terence Jie Chua Jun Zhao OffRL 19 20 0 30 Dec 2022
AdverSAR: Adversarial Search and Rescue via Multi-Agent Reinforcement Learning A. Rahman Arnab Bhattacharya Thiagarajan Ramachandran Sayak Mukherjee Himanshu Sharma Ted Fujimoto Samrat Chatterjee 32 5 0 20 Dec 2022
Learning Latent Representations to Co-Adapt to Humans Sagar Parekh Dylan P. Losey 20 12 0 19 Dec 2022
Enhancing Cyber Resilience of Networked Microgrids using Vertical Federated Reinforcement Learning Sayak Mukherjee Ramij-Raja Hossain Yuan Liu W. Du Veronica Adetola Sheik M. Mohiuddin Qiuhua Huang Tianzhixi Yin Ankit Singhal 31 4 0 17 Dec 2022
Distributed-Training-and-Execution Multi-Agent Reinforcement Learning for Power Control in HetNet Kaidi Xu Nguyen Van Huynh Geoffrey Ye Li 12 11 0 15 Dec 2022
Emergent Behaviors in Multi-Agent Target Acquisition P. Sharma Erin G. Zaroukian Derrik E. Asher Bryson Howell 29 1 0 15 Dec 2022
Multi-Agent Reinforcement Learning with Shared Resources for Inventory Management Yuandong Ding Ming Feng Guozi Liu Wei Jiang Chuheng Zhang Li Zhao Lei Song Houqiang Li Yan Jin Jiang Bian 35 16 0 15 Dec 2022
SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement Learning Benjamin Ellis Jonathan Cook S. Moalla Mikayel Samvelyan Mingfei Sun Anuj Mahajan Jakob N. Foerster Shimon Whiteson 33 84 0 14 Dec 2022
Hybrid Multi-agent Deep Reinforcement Learning for Autonomous Mobility on Demand Systems Tobias Enders James Harrison Marco Pavone Maximilian Schiffer 36 23 0 14 Dec 2022
Scalable and Sample Efficient Distributed Policy Gradient Algorithms in Multi-Agent Networked Systems Xin Liu Honghao Wei Lei Ying 42 6 0 13 Dec 2022
Effects of Spectral Normalization in Multi-agent Reinforcement Learning K. Mehta Anuj Mahajan Kiran Ravish 29 7 0 10 Dec 2022
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Songyang Han Sanbao Su Sihong He Shuo Han Haizhao Yang Shaofeng Zou Fei Miao AAML 35 23 0 06 Dec 2022
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance C. Chang Ni Mu Jiajun Wu Ling Pan Huazhe Xu 50 7 0 05 Dec 2022
Deep reinforcement learning of event-triggered communication and consensus-based control for distributed cooperative transport Kazuki Shibata Tomohiko Jimbo Takamitsu Matsubara 19 11 0 05 Dec 2022
DACOM: Learning Delay-Aware Communication for Multi-Agent Reinforcement Learning Tingting Yuan Hwei-Ming Chung Jie Yuan Xiaoming Fu 24 13 0 03 Dec 2022
A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systems Clement Ruah Osvaldo Simeone Bashir M. Al-Hashimi 32 28 0 02 Dec 2022
Decision Market Based Learning For Multi-agent Contextual Bandit Problems Wenlong Wang T. Pfeiffer 19 1 0 01 Dec 2022
Distributed Deep Reinforcement Learning: A Survey and A Multi-Player Multi-Agent Learning Toolbox Qiyue Yin Tongtong Yu S. Shen Jun Yang Meijing Zhao Kaiqi Huang Bin Liang Liangsheng Wang OffRL 30 13 0 01 Dec 2022
Towards True Lossless Sparse Communication in Multi-Agent Systems Seth Karten Mycal Tucker Siva Kailas Katia Sycara 45 4 0 30 Nov 2022
Global Convergence of Localized Policy Iteration in Networked Multi-Agent Reinforcement Learning Yizhou Zhang Guannan Qu Pan Xu Yiheng Lin Zaiwei Chen Adam Wierman 42 26 0 30 Nov 2022
Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration Srivatsan Krishnan Natasha Jaques Shayegan Omidshafiei Dan Zhang Izzeddin Gur Vijay Janapa Reddi Aleksandra Faust 36 2 0 29 Nov 2022
CLAS: Coordinating Multi-Robot Manipulation with Central Latent Action Spaces Elie Aljalbout Maximilian Karl Patrick van der Smagt 31 5 0 28 Nov 2022
Melting Pot 2.0 J. Agapiou A. Vezhnevets Edgar A. Duénez-Guzmán Jayd Matyas Yiran Mao ... Sukhdeep Singh Julia Haas Igor Mordatch D. Mobbs Joel Z Leibo 45 32 0 24 Nov 2022
Double Deep Q-Learning in Opponent Modeling Yangtianze Tao J. Doe 26 3 0 24 Nov 2022
A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract) Li Huang Nai-Zen Hseuh Yen-Che Chien Wei-Yao Wang Kuang-Da Wang Wenxia Peng OffRL 38 5 0 22 Nov 2022
Greedy based Value Representation for Optimal Coordination in Multi-agent Reinforcement Learning Lipeng Wan Zeyang Liu Xingyu Chen Xuguang Lan Han Wang 50 12 0 22 Nov 2022
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition Pascal Leroy J. Pisane D. Ernst 25 3 0 21 Nov 2022
Coordination for Connected and Automated Vehicles at Non-signalized Intersections: A Value Decomposition-based Multiagent Deep Reinforcement Learning Approach Zihan Guo Yan Wu Lifang Wang Junzhi Zhang 34 14 0 15 Nov 2022
Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation P. D. Siedler AI4CE 33 4 0 14 Nov 2022
Learning Heterogeneous Agent Cooperation via Multiagent League Training Qing Fu X. Ai Jianqiang Yi Tenghai Qiu Wanmai Yuan Zhiqiang Pu 21 7 0 13 Nov 2022
Satellite Navigation and Coordination with Limited Information Sharing Sydney I. Dolan Siddharth Nayak H. Balakrishnan 28 5 0 07 Nov 2022
Decentralized Policy Optimization Kefan Su Zongqing Lu 21 8 0 06 Nov 2022
Decentralized Federated Reinforcement Learning for User-Centric Dynamic TFDD Control Ziyan Yin Zhe Wang Jun Li Ming Ding Wen Chen Shi Jin 38 13 0 04 Nov 2022
Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation Siddharth Nayak Kenneth M. F. Choi Wenqi Ding Sydney I. Dolan Karthik Gopalakrishnan H. Balakrishnan 17 29 0 03 Nov 2022
Knowing the Past to Predict the Future: Reinforcement Virtual Learning Peng Zhang Yawen Huang Bingzhang Hu Shizheng Wang Haoran Duan Noura Al Moubayed Yefeng Zheng Yang Long OffRL 27 0 0 02 Nov 2022
LearningGroup: A Real-Time Sparse Training on FPGA via Learnable Weight Grouping for Multi-Agent Reinforcement Learning Jenny Yang Jaeuk Kim Joo-Young Kim 26 2 0 29 Oct 2022
Non-Linear Coordination Graphs Yipeng Kang Tonghan Wang Xiao-Ren Wu Qianlan Yang Chongjie Zhang 37 9 0 26 Oct 2022
A Bibliometric Analysis and Review on Reinforcement Learning for Transportation Applications Can Li Lei Bai L. Yao S. Waller Wei Liu 35 14 0 26 Oct 2022
Classifying Ambiguous Identities in Hidden-Role Stochastic Games with Multi-Agent Reinforcement Learning Shijie Han Siyuan Li Bo An Wei Zhao P. Liu 35 0 0 24 Oct 2022
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 39 22 0 22 Oct 2022
Co-Training an Observer and an Evading Target André Brandenburger Folker Hoffmann A. Charlish 40 1 0 20 Oct 2022
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation Chenning Yu Hong-Den Yu Sicun Gao 42 17 0 17 Oct 2022
PTDE: Personalized Training with Distilled Execution for Multi-Agent Reinforcement Learning Yiqun Chen Hangyu Mao Jiaxin Mao Shiguang Wu Tianle Zhang Bin Zhang Bin Wang Hong Chang OffRL 41 7 0 17 Oct 2022
Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning Jifeng Hu Yanchao Sun Hechang Chen Sili Huang Haiyin Piao Yi-Ju Chang Lichao Sun 23 5 0 14 Oct 2022
Towards Multi-Agent Reinforcement Learning driven Over-The-Counter Market Simulations N. Vadori Leo Ardon Sumitra Ganesh Thomas Spooner Selim Amrouni Jared Vann Mengda Xu Zeyu Zheng T. Balch Manuela Veloso 23 16 0 13 Oct 2022
Multi-agent Dynamic Algorithm Configuration Ke Xue Jiacheng Xu Lei Yuan Mingxing Li Chao Qian Zongzhang Zhang Yang Yu 42 29 0 13 Oct 2022
Near-Optimal Multi-Agent Learning for Safe Coverage Control Manish Prajapat M. Turchetta Melanie Zeilinger Andreas Krause 35 14 0 12 Oct 2022
Centralized Training with Hybrid Execution in Multi-Agent Reinforcement Learning Pedro P. Santos Diogo S. Carvalho Miguel Vasco Alberto Sardinha Pedro A. Santos Ana Paiva Francisco S. Melo 21 1 0 12 Oct 2022
Phantom -- A RL-driven multi-agent framework to model complex systems Leo Ardon Jared Vann Deepeka Garg Thomas Spooner Sumitra Ganesh 33 7 0 12 Oct 2022