v1v2v3v4 (latest)

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 / 1,627 papers shown

Title
Decision-making with Speculative Opponent Models Jing-rong Sun Shuo Chen Cong Zhang Yining Ma Jie Zhang 76 1 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 55 3 0 21 Nov 2022
Pandering in a Flexible Representative Democracy Xiaolin Sun Jacob Masur Ben Abramowitz Nicholas Mattei Zizhan Zheng 58 1 0 18 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 43 14 0 15 Nov 2022
Dynamic Collaborative Multi-Agent Reinforcement Learning Communication for Autonomous Drone Reforestation P. D. Siedler AI4CE 67 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 50 8 0 13 Nov 2022
Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility C. Park Soohyun Park Gyusun Kim Soyi Jung Jae-Hyun Kim Joongheon Kim 39 3 0 13 Nov 2022
Autotelic Reinforcement Learning in Multi-Agent Environments Eleni Nisioti E. Masquil Gautier Hamon Clément Moulin-Frier 75 1 0 11 Nov 2022
Efficient Domain Coverage for Vehicles with Second-Order Dynamics via Multi-Agent Reinforcement Learning Xinyu Zhao R. Fetecau Mo Chen 52 1 0 11 Nov 2022
Satellite Navigation and Coordination with Limited Information Sharing Sydney I. Dolan Siddharth Nayak H. Balakrishnan 66 5 0 07 Nov 2022
A Survey on Quantum Reinforcement Learning Nico Meyer Christian Ufrecht Maniraman Periyasamy Daniel D. Scherer Axel Plinge Christopher Mutschler AI4CE LRM 108 62 0 07 Nov 2022
Decentralized Policy Optimization Kefan Su Zongqing Lu 66 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 57 15 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 76 32 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 72 0 0 02 Nov 2022
Safe and Efficient Manoeuvring for Emergency Vehicles in Autonomous Traffic using Multi-Agent Proximal Policy Optimisation L. Parada Eduardo Candela Luís Marques Panagiotis Angeloudis 61 12 0 31 Oct 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 61 2 0 29 Oct 2022
Recursive Reasoning in Minimax Games: A Level $k$ Gradient Play Method Zichuan Liu Lacra Pavel LRM 115 3 0 29 Oct 2022
Curiosity-Driven Multi-Agent Exploration with Mixed Objectives Roben Delos Reyes Kyunghwan Son Jinhwan Jung Wan Ju Kang Yung Yi 66 5 0 29 Oct 2022
Game-Theoretical Perspectives on Active Equilibria: A Preferred Solution Concept over Nash Equilibria Dong-Ki Kim Matthew D Riemer Miao Liu Jakob N. Foerster Gerald Tesauro Jonathan P. How 79 4 0 28 Oct 2022
Non-Linear Coordination Graphs Yipeng Kang Tonghan Wang Xiao-Ren Wu Qianlan Yang Chongjie Zhang 91 10 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 83 16 0 26 Oct 2022
The Design and Realization of Multi-agent Obstacle Avoidance based on Reinforcement Learning Enyu Zhao Chanjuan Liu Houfu Su Yang Liu AI4CE 40 0 0 24 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 82 0 0 24 Oct 2022
Symmetric (Optimistic) Natural Policy Gradient for Multi-agent Learning with Parameter Convergence S. Pattathil Jianchao Tan Asuman Ozdaglar 99 14 0 23 Oct 2022
Solving Continuous Control via Q-learning Tim Seyde Peter Werner Wilko Schwarting Igor Gilitschenski Martin Riedmiller Daniela Rus Markus Wulfmeier OffRL LRM 92 23 0 22 Oct 2022
Co-Training an Observer and an Evading Target André Brandenburger Folker Hoffmann A. Charlish 71 1 0 20 Oct 2022
RPM: Generalizable Behaviors for Multi-Agent Reinforcement Learning Wei Qiu Xiao Ma Bo An S. Obraztsova Shuicheng Yan Zhongwen Xu 72 2 0 18 Oct 2022
Learning Control Admissibility Models with Graph Neural Networks for Multi-Agent Navigation Chenning Yu Hong-Den Yu Sicun Gao 79 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 99 7 0 17 Oct 2022
WILD-SCAV: Benchmarking FPS Gaming AI on Unity3D-based Environments Xi Chen Tianyuan Shi Qing Zhao Yuchen Sun Yunfei Gao Xiangjun Wang 65 2 0 14 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 71 5 0 14 Oct 2022
Decentralized Coverage Path Planning with Reinforcement Learning and Dual Guidance Yongkai Liu Jiawei Hu Wei Dong 23 2 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 80 17 0 13 Oct 2022
Multi-agent Dynamic Algorithm Configuration Ke Xue Jiacheng Xu Lei Yuan Mingxing Li Chao Qian Zongzhang Zhang Yang Yu 102 33 0 13 Oct 2022
Personalized Federated Hypernetworks for Privacy Preservation in Multi-Task Reinforcement Learning Doseok Jang La-mei Yan Lucas Spangher C. Spanos 62 1 0 13 Oct 2022
Near-Optimal Multi-Agent Learning for Safe Coverage Control Manish Prajapat M. Turchetta Melanie Zeilinger Andreas Krause 90 15 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 96 2 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 78 7 0 12 Oct 2022
A Multi-Agent Approach for Adaptive Finger Cooperation in Learning-based In-Hand Manipulation Lingfeng Tao Jiucai Zhang Michael Bowman Xiaoli Zhang 67 6 0 11 Oct 2022
A General Learning Framework for Open Ad Hoc Teamwork Using Graph-based Policy Learning Arrasy Rahman Ignacio Carlucho Niklas Höpner Stefano V. Albrecht 114 11 0 11 Oct 2022
MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library Siyi Hu Yifan Zhong Minquan Gao Weixun Wang Hao Dong Xiaodan Liang Zhihui Li Xiaojun Chang Yaodong Yang 99 17 0 11 Oct 2022
Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient Wubing Chen Wenbin Li Xiao Liu Shangdong Yang Yang Gao 73 6 0 10 Oct 2022
ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward Zixian Ma Rose E. Wang Li Fei-Fei Michael S. Bernstein Ranjay Krishna 77 17 0 09 Oct 2022
Stackelberg POMDP: A Reinforcement Learning Approach for Economic Design Gianluca Brero Alon Eden D. Chakrabarti M. Gerstgrasser Amy Greenwald Vincent Li David C. Parkes 110 2 0 07 Oct 2022
Multi-agent Deep Covering Skill Discovery Jiayu Chen Marina Haliem Tian-Shing Lan Vaneet Aggarwal 64 0 0 07 Oct 2022
Spatial-Temporal-Aware Safe Multi-Agent Reinforcement Learning of Connected Autonomous Vehicles in Challenging Scenarios Zhili Zhang Songyang Han Jiangwei Wang Fei Miao 94 20 0 05 Oct 2022
Stateful active facilitator: Coordination and Environmental Heterogeneity in Cooperative Multi-Agent Reinforcement Learning Dianbo Liu Vedant Shah Oussama Boussif Cristian Meo Anirudh Goyal Tianmin Shu Michael C. Mozer N. Heess Yoshua Bengio 134 8 0 04 Oct 2022
Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Control C. Park Won Joon Yun Soyi Jung C. Cordeiro Joongheon Kim 150 13 0 03 Oct 2022
MSRL: Distributed Reinforcement Learning with Dataflow Fragments Huanzhou Zhu Bo Zhao Gang Chen Weifeng Chen Yijie Chen Liang Shi Yaodong Yang Peter R. Pietzuch Lei Chen OffRL MoE 81 7 0 03 Oct 2022