Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning

14 October 2022

Jifeng Hu

Yanchao Sun

Hechang Chen

Sili Huang

Haiyin Piao

Yi-Ju Chang

Lichao Sun

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Papers citing "Distributional Reward Estimation for Effective Multi-Agent Deep Reinforcement Learning"

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Title
Transfer RL across Observation Feature Spaces via Model-Based Regularization Yanchao Sun Ruijie Zheng Xiyao Wang Andrew Cohen Furong Huang OOD OffRL 41 21 0 01 Jan 2022
Multimodal Reward Shaping for Efficient Exploration in Reinforcement Learning Mingqi Yuan Mon-on Pun Dong Wang Yi Chen Haojun Li 11 7 0 19 Jul 2021
Who Is the Strongest Enemy? Towards Optimal and Efficient Evasion Attacks in Deep RL Yanchao Sun Ruijie Zheng Yongyuan Liang Furong Huang AAML 11 63 0 09 Jun 2021
Reward prediction for representation learning and reward shaping Hlynur Davíð Hlynsson Laurenz Wiskott OffRL AI4TS 27 3 0 07 May 2021
Outcome-Driven Reinforcement Learning via Variational Inference Tim G. J. Rudner Vitchyr H. Pong R. McAllister Y. Gal Sergey Levine 45 20 0 20 Apr 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 37 50 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 15 49 0 16 Feb 2021
Disturbing Reinforcement Learning Agents with Corrupted Rewards Rubén Majadas Javier A. García Fernando Fernández AAML 38 6 0 12 Feb 2021
Clusterability as an Alternative to Anchor Points When Learning with Noisy Labels Zhaowei Zhu Yiwen Song Yang Liu NoLa 36 92 0 10 Feb 2021
Provably End-to-end Label-Noise Learning without Anchor Points Xuefeng Li Tongliang Liu Bo Han Gang Niu Masashi Sugiyama NoLa 141 123 0 04 Feb 2021
A Second-Order Approach to Learning with Instance-Dependent Label Noise Zhaowei Zhu Tongliang Liu Yang Liu NoLa 46 127 0 22 Dec 2020
Federated Bandit: A Gossiping Approach Zhaowei Zhu Jingxuan Zhu Ji Liu Yang Liu FedML 172 83 0 24 Oct 2020
Policy Learning Using Weak Supervision Jingkang Wang Hongyi Guo Zhaowei Zhu Yang Liu OffRL 37 14 0 05 Oct 2020
Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics Yanchao Sun Da Huo Furong Huang AAML OffRL OnRL 47 49 0 02 Sep 2020
Weakly-Supervised Reinforcement Learning for Controllable Behavior Lisa Lee Benjamin Eysenbach Ruslan Salakhutdinov S. Gu Chelsea Finn SSL 38 26 0 06 Apr 2020
TempLe: Learning Template of Transitions for Sample Efficient Multi-task RL Yanchao Sun Xiangyu Yin Furong Huang OffRL 16 16 0 16 Feb 2020
Can Agents Learn by Analogy? An Inferable Model for PAC Reinforcement Learning Yanchao Sun Furong Huang 29 4 0 21 Dec 2019
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 67 1,805 0 13 Dec 2019
Multi-Agent Game Abstraction via Graph Attention Neural Network Y. Liu Weixun Wang Yujing Hu Jianye Hao Xingguo Chen Yang Gao 32 239 0 25 Nov 2019
Multi-Agent Connected Autonomous Driving using Deep Reinforcement Learning Praveen Palanisamy 45 142 0 11 Nov 2019
WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series Jinho Lee Seokho Yi Jaewoo Kang AI4TS 30 15 0 24 Sep 2019
Can You Trust Your Model's Uncertainty? Evaluating Predictive Uncertainty Under Dataset Shift Yaniv Ovadia Emily Fertig Jie Jessie Ren Zachary Nado D. Sculley Sebastian Nowozin Joshua V. Dillon Balaji Lakshminarayanan Jasper Snoek UQCV 110 1,677 0 06 Jun 2019
Statistics and Samples in Distributional Reinforcement Learning Mark Rowland Robert Dadashi Saurabh Kumar Rémi Munos Marc G. Bellemare Will Dabney OffRL 29 89 0 21 Feb 2019
Actor-Attention-Critic for Multi-Agent Reinforcement Learning Shariq Iqbal Fei Sha 46 743 0 05 Oct 2018
Reinforcement Learning with Perturbed Rewards Jingkang Wang Yang Liu Yue Liu NoLa 45 127 0 02 Oct 2018
Combined Reinforcement Learning via Abstract Representations Vincent François-Lavet Yoshua Bengio Doina Precup Joelle Pineau OffRL 44 89 0 12 Sep 2018
Learning Dexterous In-Hand Manipulation OpenAI OpenAI Marcin Andrychowicz Bowen Baker Maciek Chociej Rafal Jozefowicz ... Szymon Sidor Joshua Tobin Peter Welinder Lilian Weng Wojciech Zaremba 66 1,865 0 01 Aug 2018
Reward Estimation for Variance Reduction in Deep Reinforcement Learning Joshua Romoff Peter Henderson Alexandre Piché Vincent François-Lavet Joelle Pineau 53 42 0 09 May 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 113 1,662 0 30 Mar 2018
Model-Based Value Estimation for Efficient Model-Free Reinforcement Learning Vladimir Feinberg Alvin Wan Ion Stoica Michael I. Jordan Joseph E. Gonzalez Sergey Levine OffRL 28 317 0 28 Feb 2018
Learning the Reward Function for a Misspecified Model Erik Talvitie 33 10 0 29 Jan 2018
Inverse Reward Design Dylan Hadfield-Menell S. Milli Pieter Abbeel Stuart J. Russell Anca Dragan 55 393 0 08 Nov 2017
Distributional Reinforcement Learning with Quantile Regression Will Dabney Mark Rowland Marc G. Bellemare Rémi Munos 65 753 0 27 Oct 2017
A Distributional Perspective on Reinforcement Learning Marc G. Bellemare Will Dabney Rémi Munos OffRL 61 1,497 0 21 Jul 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 183 18,685 0 20 Jul 2017
Imagination-Augmented Agents for Deep Reinforcement Learning T. Weber S. Racanière David P. Reichert Lars Buesing A. Guez ... Razvan Pascanu Peter W. Battaglia Demis Hassabis David Silver Daan Wierstra LM&Ro 61 552 0 19 Jul 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 101 4,441 0 07 Jun 2017
Reinforcement Learning with a Corrupted Reward Channel Tom Everitt Victoria Krakovna Laurent Orseau Marcus Hutter Shane Legg 64 100 0 23 May 2017
Model-Based Planning with Discrete and Continuous Actions Mikael Henaff William F. Whitney Yann LeCun 46 16 0 19 May 2017
The Predictron: End-To-End Learning and Planning David Silver H. V. Hasselt Matteo Hessel Tom Schaul A. Guez ... Gabriel Dulac-Arnold David P. Reichert Neil C. Rabinowitz André Barreto T. Degris 36 289 0 28 Dec 2016
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 121 13,174 0 09 Sep 2015
Learning in the Presence of Corruption Brendan van Rooyen Robert C. Williamson 16 17 0 01 Apr 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 316 149,474 0 22 Dec 2014
Training Convolutional Networks with Noisy Labels Sainbayar Sukhbaatar Joan Bruna Manohar Paluri Lubomir D. Bourdev Rob Fergus NoLa 43 270 0 09 Jun 2014
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 55 12,163 0 19 Dec 2013
Classification with Asymmetric Label Noise: Consistency and Maximal Denoising Gilles Blanchard Marek Flaska G. Handy Sara Pozzi Clayton Scott NoLa 46 243 0 05 Mar 2013
Variance-Based Rewards for Approximate Bayesian Reinforcement Learning Jonathan Sorg Satinder Singh Richard L. Lewis OffRL 55 69 0 15 Mar 2012