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Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games

31 May 2022

Papers citing "Learning Generalizable Risk-Sensitive Policies to Coordinate in Decentralized Multi-Agent General-Sum Games"

40 / 40 papers shown

Title
Continuously Discovering Novel Strategies via Reward-Switching Policy Optimization Zihan Zhou Wei Fu Bingliang Zhang Yi Wu 65 30 0 04 Apr 2022
Influencing Towards Stable Multi-Agent Interactions Woodrow Z. Wang Andy Shih Annie Xie Dorsa Sadigh 103 35 0 05 Oct 2021
Social Coordination and Altruism in Autonomous Driving Behrad Toghi Rodolfo Valiente Dorsa Sadigh Ramtin Pedarsani Y. P. Fallah 76 69 0 01 Jul 2021
Emergent Prosociality in Multi-Agent Games Through Gifting Woodrow Z. Wang M. Beliaev Erdem Biyik Daniel A. Lazar Ramtin Pedarsani Dorsa Sadigh AI4CE 62 25 0 13 May 2021
Discovering Diverse Multi-Agent Strategic Behavior via Reward Randomization Zhen-Yu Tang Chao Yu Boyuan Chen Huazhe Xu Xiaolong Wang Fei Fang S. Du Yu Wang Yi Wu 77 54 0 08 Mar 2021
The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games Chao Yu Akash Velu Eugene Vinitsky Jiaxuan Gao Yu Wang Alexandre M. Bayen Yi Wu OffRL 148 1,271 0 02 Mar 2021
RMIX: Learning Risk-Sensitive Policies for Cooperative Reinforcement Learning Agents Wei Qiu Xinrun Wang Runsheng Yu Xu He Rongpin Wang Bo An S. Obraztsova Zinovi Rabinovich 56 51 0 16 Feb 2021
DFAC Framework: Factorizing the Value Function via Quantile Mixture for Multi-Agent Distributional Q-Learning Wei-Fang Sun Cheng-Kuang Lee Chun-Yi Lee OffRL 53 49 0 16 Feb 2021
Multi-Agent Collaboration via Reward Attribution Decomposition Tianjun Zhang Huazhe Xu Xiaolong Wang Yi Wu Kurt Keutzer Joseph E. Gonzalez Yuandong Tian 64 40 0 16 Oct 2020
QPLEX: Duplex Dueling Multi-Agent Q-Learning Jianhao Wang Zhizhou Ren Terry Liu Yang Yu Chongjie Zhang OffRL 108 457 0 03 Aug 2020
Self-Supervised Policy Adaptation during Deployment Nicklas Hansen Rishabh Jangir Yu Sun Guillem Alenyà Pieter Abbeel Alexei A. Efros Lerrel Pinto Xiaolong Wang 68 163 0 08 Jul 2020
Agent Modelling under Partial Observability for Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Stefano V. Albrecht 67 65 0 16 Jun 2020
Shared Experience Actor-Critic for Multi-Agent Reinforcement Learning Filippos Christianos Lukas Schafer Stefano V. Albrecht 120 168 0 12 Jun 2020
Variational Autoencoders for Opponent Modeling in Multi-Agent Systems Georgios Papoudakis Stefano V. Albrecht BDL DRL 53 29 0 29 Jan 2020
Dota 2 with Large Scale Deep Reinforcement Learning OpenAI OpenAI : Christopher Berner Greg Brockman Brooke Chan ... Szymon Sidor Ilya Sutskever Jie Tang Filip Wolski Susan Zhang GNN VLM CLL AI4CE LRM 169 1,836 0 13 Dec 2019
Learning from My Partner's Actions: Roles in Decentralized Robot Teams Dylan P. Losey Mengxi Li Jeannette Bohg Dorsa Sadigh 59 24 0 16 Oct 2019
Dealing with Non-Stationarity in Multi-Agent Deep Reinforcement Learning Georgios Papoudakis Filippos Christianos Arrasy Rahman Stefano V. Albrecht 74 191 0 11 Jun 2019
QTRAN: Learning to Factorize with Transformation for Cooperative Multi-Agent Reinforcement Learning Kyunghwan Son Daewoo Kim Wan Ju Kang D. Hostallero Yung Yi OffRL 64 809 0 14 May 2019
Distributional Reinforcement Learning for Efficient Exploration B. Mavrin Shangtong Zhang Hengshuai Yao Linglong Kong Kaiwen Wu Yaoliang Yu OOD OffRL 52 88 0 13 May 2019
Learning Policy Representations in Multiagent Systems Aditya Grover Maruan Al-Shedivat Jayesh K. Gupta Yuri Burda Harrison Edwards AI4CE 73 125 0 17 Jun 2018
Implicit Quantile Networks for Distributional Reinforcement Learning Will Dabney Georg Ostrovski David Silver Rémi Munos OffRL 139 532 0 14 Jun 2018
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning Tabish Rashid Mikayel Samvelyan Christian Schroeder de Witt Gregory Farquhar Jakob N. Foerster Shimon Whiteson 160 1,676 0 30 Mar 2018
Towards Cooperation in Sequential Prisoner's Dilemmas: a Deep Multiagent Reinforcement Learning Approach Weixun Wang Jianye Hao Yixi Wang Matthew E. Taylor 47 32 0 01 Mar 2018
Modeling Others using Oneself in Multi-Agent Reinforcement Learning Roberta Raileanu Emily L. Denton Arthur Szlam Rob Fergus 72 202 0 26 Feb 2018
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning Marc Lanctot V. Zambaldi A. Gruslys Angeliki Lazaridou K. Tuyls Julien Perolat David Silver T. Graepel 118 638 0 02 Nov 2017
Distributional Reinforcement Learning with Quantile Regression Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos 94 762 0 27 Oct 2017
Consequentialist conditional cooperation in social dilemmas with imperfect information A. Peysakhovich Adam Lerer 70 65 0 19 Oct 2017
Autonomous Agents Modelling Other Agents: A Comprehensive Survey and Open Problems Stefano V. Albrecht Peter Stone 122 472 0 23 Sep 2017
Learning with Opponent-Learning Awareness Jakob N. Foerster Richard Y. Chen Maruan Al-Shedivat Shimon Whiteson Pieter Abbeel Igor Mordatch 105 539 0 13 Sep 2017
Prosocial learning agents solve generalized Stag Hunts better than selfish ones A. Peysakhovich Adam Lerer 84 109 0 08 Sep 2017
A Survey of Learning in Multiagent Environments: Dealing with Non-Stationarity Pablo Hernandez-Leal Michael Kaisers T. Baarslag Enrique Munoz de Cote 70 274 0 28 Jul 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 101 1,506 0 21 Jul 2017
Value-Decomposition Networks For Cooperative Multi-Agent Learning P. Sunehag Guy Lever A. Gruslys Wojciech M. Czarnecki V. Zambaldi ... Marc Lanctot Nicolas Sonnerat Joel Z Leibo K. Tuyls T. Graepel 73 1,013 0 16 Jun 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 162 4,509 0 07 Jun 2017
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 140 2,087 0 24 May 2017
Multiagent Cooperation and Competition with Deep Reinforcement Learning Ardi Tampuu Tambet Matiisen Dorian Kodelja Ilya Kuzovkin Kristjan Korjus Juhan Aru Jaan Aru Raul Vicente 98 865 0 27 Nov 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 325 13,286 0 09 Sep 2015
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach Yinlam Chow Aviv Tamar Shie Mannor Marco Pavone 128 321 0 06 Jun 2015
Variance-Constrained Actor-Critic Algorithms for Discounted and Average Reward MDPs Prashanth L.A. Mohammad Ghavamzadeh 66 70 0 25 Mar 2014
Policy Gradients with Variance Related Risk Criteria Dotan Di Castro Aviv Tamar Shie Mannor 101 210 0 27 Jun 2012