Evolution-Guided Policy Gradient in Reinforcement Learning

21 May 2018

Papers citing "Evolution-Guided Policy Gradient in Reinforcement Learning"

46 / 46 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
Cost-Aware Dynamic Cloud Workflow Scheduling using Self-Attention and Evolutionary Reinforcement Learning Ya Shen Gang Chen Hui Ma Mengjie Zhang 35 1 0 31 Dec 2024
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 27 2 0 08 Nov 2024
Genetic Drift Regularization: on preventing Actor Injection from breaking Evolution Strategies Paul Templier Emmanuel Rachelson Antoine Cully Dennis G. Wilson 29 0 0 07 May 2024
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning Hui Bai Ran Cheng 53 4 0 12 Apr 2024
Score-Aware Policy-Gradient Methods and Performance Guarantees using Local Lyapunov Conditions: Applications to Product-Form Stochastic Networks and Queueing Systems Céline Comte Matthieu Jonckheere J. Sanders Albert Senen-Cerda 30 0 0 05 Dec 2023
Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication Adam Callaghan Karl Mason Patrick Mannion 34 2 0 20 Jun 2023
Supplementing Gradient-Based Reinforcement Learning with Simple Evolutionary Ideas H. Khadilkar 29 0 0 10 May 2023
Evolving Populations of Diverse RL Agents with MAP-Elites Thomas Pierrot Arthur Flajolet 33 8 0 09 Mar 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 29 23 0 26 Oct 2022
Lamarckian Platform: Pushing the Boundaries of Evolutionary Reinforcement Learning towards Asynchronous Commercial Games Hui Bai R. Shen Yue Lin Bo Xu Ran Cheng VLM 34 5 0 21 Sep 2022
Evolutionary Deep Reinforcement Learning Using Elite Buffer: A Novel Approach Towards DRL Combined with EA in Continuous Control Tasks Marzie Esmaeeli H. Malek 27 2 0 18 Sep 2022
Evolutionary Deep Reinforcement Learning for Dynamic Slice Management in O-RAN Fatemeh Lotfi Omid Semiari Fatemeh Afghah 22 12 0 30 Aug 2022
Qualitative Differences Between Evolutionary Strategies and Reinforcement Learning Methods for Control of Autonomous Agents Nicola Milano S. Nolfi 20 0 0 16 May 2022
Flexible Multiple-Objective Reinforcement Learning for Chip Placement Fu-Chieh Chang Yu-Wei Tseng Ya-Wen Yu Ssu-Rui Lee Alexandru Cioba ... Chien-Yi Yang Ren-Chu Wang Yao-Wen Chang Tai-Chen Chen Tung-Chieh Chen OffRL 33 5 0 13 Apr 2022
Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning Bryon Tjanaka Matthew C. Fontaine Julian Togelius Stefanos Nikolaidis 38 50 0 08 Feb 2022
Building Human-like Communicative Intelligence: A Grounded Perspective M. Dubova 29 12 0 02 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
Symbolic Regression via Neural-Guided Genetic Programming Population Seeding T. Nathan Mundhenk Mikel Landajuela Ruben Glatt Claudio Santiago Daniel Faissol Brenden K. Petersen 38 85 0 29 Oct 2021
REIN-2: Giving Birth to Prepared Reinforcement Learning Agents Using Reinforcement Learning Agents A. Lazaridis I. Vlahavas OffRL 28 2 0 11 Oct 2021
Guiding Evolutionary Strategies by Differentiable Robot Simulators Vladislav Kurenkov Bulat Maksudov 31 2 0 01 Oct 2021
Optimal Actor-Critic Policy with Optimized Training Datasets C. Banerjee Zhiyong Chen N. Noman M. Zamani OffRL 27 7 0 16 Aug 2021
Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model Jiangning Zhang Chao Xu Jian Li Wenzhou Chen Yabiao Wang Ying Tai Shuo Chen Chengjie Wang Feiyue Huang Yong Liu 35 22 0 31 May 2021
Evolving Reinforcement Learning Algorithms John D. Co-Reyes Yingjie Miao Daiyi Peng Esteban Real Sergey Levine Quoc V. Le Honglak Lee Aleksandra Faust 46 73 0 08 Jan 2021
Cooperative Heterogeneous Deep Reinforcement Learning Han Zheng Pengfei Wei Jing Jiang Guodong Long Qinghua Lu Chengqi Zhang 49 12 0 02 Nov 2020
Softmax Deep Double Deterministic Policy Gradients Ling Pan Qingpeng Cai Longbo Huang 72 86 0 19 Oct 2020
Sample-efficient Cross-Entropy Method for Real-time Planning Cristina Pinneri Shambhuraj Sawant Sebastian Blaes Jan Achterhold Joerg Stueckler Michal Rolínek Georg Martius 32 98 0 14 Aug 2020
Maximum Mutation Reinforcement Learning for Scalable Control Karush Suri Xiaolong Shi Konstantinos N. Plataniotis Y. Lawryshyn 25 4 0 24 Jul 2020
Optimizing Memory Placement using Evolutionary Graph Reinforcement Learning Shauharda Khadka Estelle Aflalo Mattias Marder Avrech Ben-David Santiago Miret Shie Mannor Tamir Hazan Hanlin Tang Somdeb Majumdar GNN 27 11 0 14 Jul 2020
Neuroevolution in Deep Neural Networks: Current Trends and Future Challenges E. Galván P. Mooney 27 129 0 09 Jun 2020
Population-Based Black-Box Optimization for Biological Sequence Design Christof Angermüller David Belanger Andreea Gane Zelda E. Mariet David Dohan Kevin Patrick Murphy Lucy J. Colwell D. Sculley 21 133 0 05 Jun 2020
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization Aritz D. Martinez E. Osaba Javier Del Ser Francisco Herrera 17 10 0 25 Feb 2020
Effective Diversity in Population Based Reinforcement Learning Jack Parker-Holder Aldo Pacchiano K. Choromanski Stephen J. Roberts 19 158 0 03 Feb 2020
Population-Guided Parallel Policy Search for Reinforcement Learning Whiyoung Jung Giseung Park Y. Sung OffRL 24 38 0 09 Jan 2020
Monte-Carlo Tree Search for Policy Optimization Xiaobai Ma Katherine Driggs-Campbell Zongzhang Zhang Mykel J. Kochenderfer 20 6 0 23 Dec 2019
Recruitment-imitation Mechanism for Evolutionary Reinforcement Learning Shuai Lu Shuai Han Wenbo Zhou Junwei Zhang 21 26 0 13 Dec 2019
Multi-Path Policy Optimization L. Pan Qingpeng Cai Longbo Huang 18 2 0 11 Nov 2019
Unsupervised Learning and Exploration of Reachable Outcome Space Giuseppe Paolo Alban Laflaquière Alexandre Coninx Stéphane Doncieux 26 36 0 12 Sep 2019
Proximal Distilled Evolutionary Reinforcement Learning Cristian Bodnar Ben Day Pietro Lio 36 71 0 24 Jun 2019
Reinforcement Learning Driven Heuristic Optimization Qingpeng Cai W. Hang Azalia Mirhoseini George Tucker Jingtao Wang Wei Wei 21 26 0 16 Jun 2019
Q-Learning for Continuous Actions with Cross-Entropy Guided Policies Riley Simmons-Edler Ben Eisner E. Mitchell Sebastian Seung Daniel D. Lee 44 28 0 25 Mar 2019
Learn a Prior for RHEA for Better Online Planning Xinyao Tong W. Liu Bin Li OffRL 32 0 0 14 Feb 2019
CEM-RL: Combining evolutionary and gradient-based methods for policy search Aloïs Pourchot Olivier Sigaud 32 159 0 02 Oct 2018
Importance mixing: Improving sample reuse in evolutionary policy search methods Aloïs Pourchot Nicolas Perrin Olivier Sigaud 9 14 0 17 Aug 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 16 72 0 13 Mar 2018
Convolution by Evolution: Differentiable Pattern Producing Networks Chrisantha Fernando Dylan Banarse Malcolm Reynolds F. Besse David Pfau Max Jaderberg Marc Lanctot Daan Wierstra 191 102 0 08 Jun 2016