v1v2 (latest)

ERL-Re $^2$ : Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation

26 October 2022

Jianye Hao

Yan Zheng

ArXiv (abs)PDF HTML Github (64★)

Papers citing "ERL-Re$^2$: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation"

36 / 36 papers shown

Title
EUCLID: Towards Efficient Unsupervised Reinforcement Learning with Multi-choice Dynamics Model Yifu Yuan Jianye Hao Fei Ni Yao Mu Yan Zheng Yujing Hu Jinyi Liu Yingfeng Chen Changjie Fan 126 14 0 02 Oct 2022
Evolutionary Action Selection for Gradient-based Policy Learning Yan Ma T. Liu Bingsheng Wei Yi Liu Kang Xu Wei Li 153 8 0 12 Jan 2022
A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning Yuxing Wang Tiantian Zhang Yongzhe Chang Bin Liang Xueqian Wang Bo Yuan 80 17 0 01 Jan 2022
Soft Actor-Critic with Cross-Entropy Policy Optimization Zhenyang Shi Surya Pal Singh 38 5 0 21 Dec 2021
DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization Aviral Kumar Rishabh Agarwal Tengyu Ma Aaron Courville George Tucker Sergey Levine OffRL 87 69 0 09 Dec 2021
Differentiable Quality Diversity Matthew C. Fontaine Stefanos Nikolaidis 105 91 0 07 Jun 2021
Decoupling Value and Policy for Generalization in Reinforcement Learning Roberta Raileanu Rob Fergus DRL OffRL 90 99 0 20 Feb 2021
GRAC: Self-Guided and Self-Regularized Actor-Critic Lin Shao Yifan You Mengyuan Yan Qingyun Sun Jeannette Bohg 68 24 0 18 Sep 2020
Phasic Policy Gradient K. Cobbe Jacob Hilton Oleg Klimov John Schulman OffRL 70 159 0 09 Sep 2020
Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising Xiaotian Hao Zhaoqing Peng Yi-An Ma Guanlong Wang Junqi Jin ... Zhenzhe Zheng Chuan Yu Han Li Jian Xu Kun Gai 52 26 0 29 Jun 2020
Parameter-Based Value Functions Francesco Faccio Louis Kirsch Jürgen Schmidhuber OffRL 82 26 0 16 Jun 2020
The Value-Improvement Path: Towards Better Representations for Reinforcement Learning Will Dabney André Barreto Mark Rowland Robert Dadashi John Quan Marc G. Bellemare David Silver 79 67 0 03 Jun 2020
Reinforcement Learning with Augmented Data Michael Laskin Kimin Lee Adam Stooke Lerrel Pinto Pieter Abbeel A. Srinivas OffRL 116 660 0 30 Apr 2020
FACMAC: Factored Multi-Agent Centralised Policy Gradients Bei Peng Tabish Rashid Christian Schroeder de Witt Pierre-Alexandre Kamienny Philip Torr Wendelin Bohmer Shimon Whiteson 84 263 0 14 Mar 2020
Effective Diversity in Population Based Reinforcement Learning Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts 122 165 0 03 Feb 2020
Independent Generative Adversarial Self-Imitation Learning in Cooperative Multiagent Systems Xiaotian Hao Weixun Wang Jianye Hao Yaodong Yang 58 16 0 25 Sep 2019
Proximal Distilled Evolutionary Reinforcement Learning Cristian Bodnar Ben Day Pietro Lio 95 74 0 24 Jun 2019
Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination Shauharda Khadka Somdeb Majumdar Santiago Miret Stephen McAleer Kagan Tumer 68 60 0 18 Jun 2019
Collaborative Evolutionary Reinforcement Learning Shauharda Khadka Somdeb Majumdar Tarek Nassar Zach Dwiel E. Tumer Santiago Miret Yinyin Liu Kagan Tumer 64 100 0 02 May 2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies Riley Simmons-Edler Ben Eisner E. Mitchell Sebastian Seung Daniel D. Lee 93 29 0 25 Mar 2019
The StarCraft Multi-Agent Challenge Mikayel Samvelyan Tabish Rashid Christian Schroeder de Witt Gregory Farquhar Nantas Nardelli Tim G. J. Rudner Chia-Man Hung Philip Torr Jakob N. Foerster Shimon Whiteson 102 959 0 11 Feb 2019
Residual Reinforcement Learning for Robot Control T. Johannink Shikhar Bahl Ashvin Nair Jianlan Luo Avinash Kumar M. Loskyll J. A. Ojea Eugen Solowjow Sergey Levine OffRL 88 420 0 07 Dec 2018
CEM-RL: Combining evolutionary and gradient-based methods for policy search Aloïs Pourchot Olivier Sigaud 87 161 0 02 Oct 2018
Recurrent World Models Facilitate Policy Evolution David R Ha Jürgen Schmidhuber SyDa TPM 126 957 0 04 Sep 2018
QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation Dmitry Kalashnikov A. Irpan P. Pastor Julian Ibarz Alexander Herzog ... Deirdre Quillen E. Holly Mrinal Kalakrishnan Vincent Vanhoucke Sergey Levine 146 1,472 0 27 Jun 2018
Evolution-Guided Policy Gradient in Reinforcement Learning Shauharda Khadka Kagan Tumer 132 230 0 21 May 2018
Addressing Function Approximation Error in Actor-Critic Methods Scott Fujimoto H. V. Hoof David Meger OffRL 200 5,226 0 26 Feb 2018
MINE: Mutual Information Neural Estimation Mohamed Ishmael Belghazi A. Baratin Sai Rajeswar Sherjil Ozair Yoshua Bengio Aaron Courville R. Devon Hjelm DRL 224 1,285 0 12 Jan 2018
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine 319 8,432 0 04 Jan 2018
DeepMind Control Suite Yuval Tassa Yotam Doron Alistair Muldal Tom Erez Yazhe Li ... A. Abdolmaleki J. Merel Andrew Lefrancq Timothy Lillicrap Martin Riedmiller ELM LM&Ro BDL 150 1,144 0 02 Jan 2018
Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning F. Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune 118 695 0 18 Dec 2017
Interpretable Policies for Reinforcement Learning by Genetic Programming D. Hein Steffen Udluft Thomas Runkler OffRL 61 135 0 12 Dec 2017
Population Based Training of Neural Networks Max Jaderberg Valentin Dalibard Simon Osindero Wojciech M. Czarnecki Jeff Donahue ... Tim Green Iain Dunning Karen Simonyan Chrisantha Fernando Koray Kavukcuoglu 98 744 0 27 Nov 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 592 19,315 0 20 Jul 2017
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 334 13,295 0 09 Sep 2015
Playing Atari with Deep Reinforcement Learning Volodymyr Mnih Koray Kavukcuoglu David Silver Alex Graves Ioannis Antonoglou Daan Wierstra Martin Riedmiller 137 12,272 0 19 Dec 2013