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 / 563 papers shown

Title
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning Shenao Zhang Li Shen Lei Han Li Shen 24 7 0 30 Aug 2021
Federated Reinforcement Learning: Techniques, Applications, and Open Challenges Jiaju Qi Qihao Zhou Lei Lei Kan Zheng FedML 31 145 0 26 Aug 2021
Settling the Variance of Multi-Agent Policy Gradients J. Kuba Muning Wen Yaodong Yang Linghui Meng Shangding Gu Haifeng Zhang D. Mguni Jun Wang 24 58 0 19 Aug 2021
The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning Mateus P. Mota Álvaro Valcarce J. Gorce J. Hoydis 25 39 0 16 Aug 2021
Decentralized Multi-AGV Task Allocation based on Multi-Agent Reinforcement Learning with Information Potential Field Rewards Mengyuan Li Bin Guo Jiangshan Zhang Jiaqi Liu Sicong Liu Zhiwen Yu Zhetao Li Liyao Xiang 27 12 0 16 Aug 2021
Semantics-Native Communication with Contextual Reasoning Hyowoon Seo Jihong Park M. Bennis Mérouane Debbah LRM 45 36 0 12 Aug 2021
Safe Deep Reinforcement Learning for Multi-Agent Systems with Continuous Action Spaces Ziyad Sheebaelhamd Konstantinos Zisis Athina Nisioti Dimitris Gkouletsos Dario Pavllo Jonas Köhler AI4CE 21 16 0 09 Aug 2021
Semantic Tracklets: An Object-Centric Representation for Visual Multi-Agent Reinforcement Learning Iou-Jen Liu Zhongzheng Ren Raymond A. Yeh A. Schwing 27 15 0 06 Aug 2021
Reinforcement Learning for Intelligent Healthcare Systems: A Comprehensive Survey A. Abdellatif N. Mhaisen Z. Chkirbene Amr M. Mohamed A. Erbad Mohsen Guizani OffRL AI4TS 20 21 0 05 Aug 2021
Mean-Field Multi-Agent Reinforcement Learning: A Decentralized Network Approach Haotian Gu Xin Guo Xiaoli Wei Renyuan Xu OOD 40 36 0 05 Aug 2021
Offline Decentralized Multi-Agent Reinforcement Learning Jiechuan Jiang Zongqing Lu OffRL 28 37 0 04 Aug 2021
Emergent Discrete Communication in Semantic Spaces Mycal Tucker Huao Li Siddharth Agrawal Dana Hughes Katia P. Sycara Michael Lewis J. Shah 21 28 0 04 Aug 2021
Survey of Recent Multi-Agent Reinforcement Learning Algorithms Utilizing Centralized Training P. Sharma Rolando Fernandez Erin G. Zaroukian M. Dorothy Anjon Basak Derrik E. Asher 13 40 0 29 Jul 2021
Open-Ended Learning Leads to Generally Capable Agents Open-Ended Learning Team Adam Stooke Anuj Mahajan Catarina Barros Charlie Deck ... Nicolas Porcel Roberta Raileanu Steph Hughes-Fitt Valentin Dalibard Wojciech M. Czarnecki 40 181 0 27 Jul 2021
Transferable Dialogue Systems and User Simulators Bo-Hsiang Tseng Yinpei Dai Florian Kreyssig Bill Byrne 19 53 0 25 Jul 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement Learning Iou-Jen Liu Unnat Jain Raymond A. Yeh A. Schwing 42 104 0 23 Jul 2021
Trajectory Design for UAV-Based Internet-of-Things Data Collection: A Deep Reinforcement Learning Approach Yang Wang Zhen Gao Jun Zhang Xianbin Cao Dezhi Zheng Yue Gao Derrick Wing Kwan Ng M. Di Renzo 28 92 0 23 Jul 2021
Accelerating Quadratic Optimization with Reinforcement Learning Jeffrey Ichnowski Paras Jain Bartolomeo Stellato G. Banjac Michael Luo Francesco Borrelli Joseph E. Gonzalez Ion Stoica Ken Goldberg OffRL 19 35 0 22 Jul 2021
Decentralized Multi-Agent Reinforcement Learning for Task Offloading Under Uncertainty Yuanchao Xu Amal Feriani Ekram Hossain OffRL 26 4 0 16 Jul 2021
Visual Adversarial Imitation Learning using Variational Models Rafael Rafailov Tianhe Yu Aravind Rajeswaran Chelsea Finn SSL 28 49 0 16 Jul 2021
Evaluating the progress of Deep Reinforcement Learning in the real world: aligning domain-agnostic and domain-specific research J. Luis E. Crawley B. Cameron OffRL 25 6 0 07 Jul 2021
SA-MATD3:Self-attention-based multi-agent continuous control method in cooperative environments Kai Liu Yuyang Zhao Gang Wang Bei Peng 25 18 0 01 Jul 2021
Social Coordination and Altruism in Autonomous Driving Behrad Toghi Rodolfo Valiente Dorsa Sadigh Ramtin Pedarsani Y. P. Fallah 24 66 0 01 Jul 2021
Compositional Reinforcement Learning from Logical Specifications Kishor Jothimurugan Suguman Bansal Osbert Bastani Rajeev Alur CoGe 28 77 0 25 Jun 2021
Distributed Heuristic Multi-Agent Path Finding with Communication Ziyuan Ma Yudong Luo Hang Ma 23 69 0 21 Jun 2021
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings Eugene Vinitsky Raphael Köster J. Agapiou Edgar A. Duénez-Guzmán A. Vezhnevets Joel Z Leibo 27 37 0 16 Jun 2021
A Game-Theoretic Approach to Multi-Agent Trust Region Optimization Ying Wen Hui Chen Yaodong Yang Zheng Tian Minne Li Xu Chen Jun Wang 38 11 0 12 Jun 2021
A Cooperative-Competitive Multi-Agent Framework for Auto-bidding in Online Advertising Chao Wen Miao Xu Zhilin Zhang Zhenzhe Zheng Yuhui Wang ... Jian Xu Fan Wu Guihai Chen Xiaoqiang Zhu Bo Zheng 29 15 0 11 Jun 2021
Cooperative Multi-Agent Fairness and Equivariant Policies Niko A. Grupen B. Selman Daniel D. Lee FaML 19 11 0 10 Jun 2021
The Power of Exploiter: Provable Multi-Agent RL in Large State Spaces Chi Jin Qinghua Liu Tiancheng Yu 26 50 0 07 Jun 2021
Shapley Counterfactual Credits for Multi-Agent Reinforcement Learning Jiahui Li Kun Kuang Baoxiang Wang Furui Liu Long Chen Fei Wu Jun Xiao OffRL 17 60 0 01 Jun 2021
Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning Anuj Mahajan Mikayel Samvelyan Lei Mao Viktor Makoviychuk Animesh Garg Jean Kossaifi Shimon Whiteson Yuke Zhu Anima Anandkumar 26 32 0 31 May 2021
SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning Jianhong Wang Yuan Zhang Yunjie Gu Tae-Kyun Kim OffRL FAtt 22 19 0 31 May 2021
From Motor Control to Team Play in Simulated Humanoid Football Siqi Liu Guy Lever Zhe Wang J. Merel S. M. Ali Eslami ... Tuomas Haarnoja Brendan D. Tracey K. Tuyls T. Graepel N. Heess 31 129 0 25 May 2021
Hierarchical RNNs-Based Transformers MADDPG for Mixed Cooperative-Competitive Environments Xiaolong Wei Lifang Yang Xianglin Huang Gang Cao Zhulin Tao Zhengyang Du Jing An 29 6 0 11 May 2021
Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts Weinan Zhang Xihuai Wang Jian Shen Ming Zhou 27 35 0 07 May 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 28 86 0 04 May 2021
Reinforcement Learning for Ridesharing: An Extended Survey Zhiwei Qin Hongtu Zhu Jieping Ye 39 84 0 03 May 2021
Reducing Bus Bunching with Asynchronous Multi-Agent Reinforcement Learning Changyin Sun Lijun Sun 19 16 0 02 May 2021
Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem Chengwei Zhang Shan Jin Wanli Xue Xiaofei Xie Shengyong Chen Rong Chen 37 24 0 22 Apr 2021
Network-wide traffic signal control optimization using a multi-agent deep reinforcement learning Zhenning Li Hao Yu Guohui Zhang Shangjia Dong Cheng-Zhong Xu 21 108 0 20 Apr 2021
Decomposed Soft Actor-Critic Method for Cooperative Multi-Agent Reinforcement Learning Yuan Pu Shaochen Wang Rui Yang Xin Yao Bin Li 16 19 0 14 Apr 2021
Two-stage training algorithm for AI robot soccer Taeyoung Kim L. Vecchietti Kyujin Choi Sanem Sariel Dongsoo Har 21 6 0 13 Apr 2021
A Dynamics Perspective of Pursuit-Evasion Games of Intelligent Agents with the Ability to Learn Hao Xiong Huanhui Cao Lin Zhang Wenjie Lu 19 3 0 03 Apr 2021
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World Florian Laurent Manuel Schneider Christian Scheller J. Watson Jiaoyang Li ... Nilabha Bhattacharya Shivam Agarwal A. Egli Erik Nygren Sharada Mohanty 36 28 0 30 Mar 2021
KnowRU: Knowledge Reusing via Knowledge Distillation in Multi-agent Reinforcement Learning Zijian Gao Kele Xu Bo Ding Huaimin Wang Yiying Li Hongda Jia 42 15 0 27 Mar 2021
Spatial Intention Maps for Multi-Agent Mobile Manipulation Jimmy Wu Xingyuan Sun Andy Zeng Shuran Song Szymon Rusinkiewicz Thomas Funkhouser 21 23 0 23 Mar 2021
Learning to Robustly Negotiate Bi-Directional Lane Usage in High-Conflict Driving Scenarios Christoph Killing Adam R. Villaflor John M. Dolan 33 5 0 22 Mar 2021
MAMBPO: Sample-efficient multi-robot reinforcement learning using learned world models Daniel Willemsen M. Coppola Guido de Croon 10 30 0 05 Mar 2021
AGENT: A Benchmark for Core Psychological Reasoning Tianmin Shu Abhishek Bhandwaldar Chuang Gan Kevin A. Smith Shari Liu Dan Gutfreund E. Spelke J. Tenenbaum T. Ullman 34 66 0 24 Feb 2021