Proximal Distilled Evolutionary Reinforcement Learning

24 June 2019

Papers citing "Proximal Distilled Evolutionary Reinforcement Learning"

28 / 28 papers shown

Title
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning Bowen Zheng Ran Cheng Kay Chen Tan 42 0 0 25 Jan 2025
Genetic Drift Regularization: on preventing Actor Injection from breaking Evolution Strategies Paul Templier Emmanuel Rachelson Antoine Cully Dennis G. Wilson 26 0 0 07 May 2024
Evolutionary Reinforcement Learning via Cooperative Coevolution Chengpeng Hu Jialin Liu Xinghu Yao 22 0 0 23 Apr 2024
Evolutionary Reinforcement Learning: A Systematic Review and Future Directions Y. Lin Fan Lin Guorong Cai Hong Chen Lixin Zou Pengcheng Wu 52 3 0 20 Feb 2024
Bridging Evolutionary Algorithms and Reinforcement Learning: A Comprehensive Survey on Hybrid Algorithms Pengyi Li Jianye Hao Hongyao Tang Xian Fu Yan Zheng Ke Tang 39 9 0 22 Jan 2024
Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication Adam Callaghan Karl Mason Patrick Mannion 31 2 0 20 Jun 2023
Rethinking Population-assisted Off-policy Reinforcement Learning Bowen Zheng Ran Cheng OffRL 23 9 0 04 May 2023
Evolving Constrained Reinforcement Learning Policy Chengpeng Hu Jiyuan Pei Jialin Liu Xinghu Yao 16 1 0 19 Apr 2023
Evolutionary Reinforcement Learning: A Survey Hui Bai Ran Cheng Yaochu Jin OffRL 45 52 0 07 Mar 2023
Improving Deep Policy Gradients with Value Function Search Enrico Marchesini Chris Amato 26 9 0 20 Feb 2023
ERL-Re $^2$ : Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation Jianye Hao Pengyi Li Hongyao Tang Yan Zheng Xian Fu Zhaopeng Meng 26 23 0 26 Oct 2022
Making Reinforcement Learning Work on Swimmer Mael Franceschetti Coline Lacoux Ryan Ohouens Antonin Raffin Olivier Sigaud OffRL 29 7 0 16 Aug 2022
Combining Evolution and Deep Reinforcement Learning for Policy Search: a Survey Olivier Sigaud 17 26 0 26 Mar 2022
Zeroth-Order Actor-Critic: An Evolutionary Framework for Sequential Decision Problems Yuheng Lei Jianyu Chen Guojian Zhan Tao Zhang Jiangtao Li Jianyu Chen Shengbo Eben Li Sifa Zheng OffRL 21 2 0 29 Jan 2022
Automated Reinforcement Learning: An Overview Reza Refaei Afshar Yingqian Zhang Joaquin Vanschoren U. Kaymak OffRL 30 16 0 13 Jan 2022
Evolutionary Action Selection for Gradient-based Policy Learning Yan Ma T. Liu Bingsheng Wei Yi Liu Kang Xu Wei Li 24 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 21 15 0 01 Jan 2022
Benchmarking Safe Deep Reinforcement Learning in Aquatic Navigation Enrico Marchesini Davide Corsi Alessandro Farinelli 16 18 0 16 Dec 2021
REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents A. Lazaridis I. Vlahavas OffRL 23 2 0 11 Oct 2021
IE-GAN: An Improved Evolutionary Generative Adversarial Network Using a New Fitness Function and a Generic Crossover Operator Junjie Li Jingyao Li Wenbo Zhou Shuai Lu 15 2 0 25 Jul 2021
MODRL/D-EL: Multiobjective Deep Reinforcement Learning with Evolutionary Learning for Multiobjective Optimization Yongxin Zhang Jiahai Wang Zizhen Zhang Yalan Zhou 16 21 0 16 Jul 2021
Derivative-Free Reinforcement Learning: A Review Hong Qian Yang Yu OffRL 20 42 0 10 Feb 2021
Evolutionary Generative Adversarial Networks with Crossover Based Knowledge Distillation Junjie Li Junwei Zhang Xiaoyu Gong Shuai Lu GAN 24 10 0 27 Jan 2021
An Efficient Asynchronous Method for Integrating Evolutionary and Gradient-based Policy Search Kyunghyun Lee Byeong-uk Lee Ukcheol Shin In So Kweon 22 22 0 10 Dec 2020
Reward Conditioned Neural Movement Primitives for Population Based Variational Policy Optimization M. Akbulut Utku Bozdoğan Ahmet E. Tekden Emre Ugur 15 5 0 09 Nov 2020
Sample-Efficient Automated Deep Reinforcement Learning Jörg Franke Gregor Koehler André Biedenkapp Frank Hutter 23 39 0 03 Sep 2020
EVO-RL: Evolutionary-Driven Reinforcement Learning Ahmed Hallawa Thorsten Born Anke Schmeink Guido Dartmann A. Peine Lukas Martin Giovanni Iacca A. E. Eiben G. Ascheid 11 14 0 09 Jul 2020
Neural Architecture Evolution in Deep Reinforcement Learning for Continuous Control Jörg Franke Gregor Koehler Noor H. Awad Frank Hutter 25 7 0 28 Oct 2019