Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints

30 June 2024

Jianuo Huang

Papers citing "Diffusion Models for Offline Multi-agent Reinforcement Learning with Safety Constraints"

28 / 28 papers shown

Title
Datasets and Benchmarks for Offline Safe Reinforcement Learning Zuxin Liu Zijian Guo Haohong Lin Yi-Fan Yao Jiacheng Zhu ... Hanjiang Hu Wenhao Yu Tingnan Zhang Jie Tan Ding Zhao OffRL 61 43 0 15 Jun 2023
Is Conditional Generative Modeling all you need for Decision-Making? Anurag Ajay Yilun Du Abhi Gupta J. Tenenbaum Tommi Jaakkola Pulkit Agrawal DiffM 127 394 0 28 Nov 2022
Classifier-Free Diffusion Guidance Jonathan Ho Tim Salimans FaML 193 3,898 0 26 Jul 2022
Score-Based Generative Modeling through Stochastic Differential Equations Yang Song Jascha Narain Sohl-Dickstein Diederik P. Kingma Abhishek Kumar Stefano Ermon Ben Poole DiffM SyDa 338 6,480 0 26 Nov 2020
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods Adam Stooke Joshua Achiam Pieter Abbeel 76 299 0 08 Jul 2020
Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks Georgios Papoudakis Filippos Christianos Lukas Schafer Stefano V. Albrecht OffRL 60 229 0 14 Jun 2020
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 105 808 0 19 Mar 2020
ROMA: Multi-Agent Reinforcement Learning with Emergent Roles Tonghan Wang Heng Dong V. Lesser Chongjie Zhang 93 219 0 18 Mar 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 166 1,824 0 13 Dec 2019
Multi-Agent Reinforcement Learning: A Selective Overview of Theories and Algorithms Kai Zhang Zhuoran Yang Tamer Basar 193 1,218 0 24 Nov 2019
Generative Modeling by Estimating Gradients of the Data Distribution Yang Song Stefano Ermon SyDa DiffM 258 3,916 0 12 Jul 2019
Factorized Q-Learning for Large-Scale Multi-Agent Systems M. Zhou Yong Chen Ying Wen Yaodong Yang Yufeng Su Weinan Zhang Dell Zhang Jun Wang AI4CE 55 68 0 11 Sep 2018
Dual Attention Network for Scene Segmentation J. Fu Qingbin Liu Haijie Tian Yong Li Yongjun Bao Zhiwei Fang Hanqing Lu SSeg 322 5,108 0 09 Sep 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 150 1,671 0 30 Mar 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 175 5,187 0 26 Feb 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 311 8,352 0 04 Jan 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 499 19,065 0 20 Jul 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 140 4,485 0 07 Jun 2017
Constrained Policy Optimization Joshua Achiam David Held Aviv Tamar Pieter Abbeel 110 1,325 0 30 May 2017
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 124 2,076 0 24 May 2017
Emergence of Grounded Compositional Language in Multi-Agent Populations Igor Mordatch Pieter Abbeel LLMAG 116 702 0 15 Mar 2017
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 172 1,539 0 25 Jan 2017
Safe, Multi-Agent, Reinforcement Learning for Autonomous Driving Shai Shalev-Shwartz Shaked Shammah Amnon Shashua 108 836 0 11 Oct 2016
Multiagent Cooperation and Competition with Deep Reinforcement Learning Ardi Tampuu Tambet Matiisen Dorian Kodelja Ilya Kuzovkin Kristjan Korjus Juhan Aru Jaan Aru Raul Vicente 96 865 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 320 13,248 0 09 Sep 2015
Deep Unsupervised Learning using Nonequilibrium Thermodynamics Jascha Narain Sohl-Dickstein Eric A. Weiss Niru Maheswaranathan Surya Ganguli SyDa DiffM 301 6,949 0 12 Mar 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 127 12,231 0 19 Dec 2013
Provably Safe and Robust Learning-Based Model Predictive Control A. Aswani Humberto González S. Shankar Sastry Claire Tomlin 96 524 0 13 Jul 2011