Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents

18 December 2017

Jeff Clune

Papers citing "Improving Exploration in Evolution Strategies for Deep Reinforcement Learning via a Population of Novelty-Seeking Agents"

50 / 73 papers shown

Title
Utilizing Novelty-based Evolution Strategies to Train Transformers in Reinforcement Learning Matyáš Lorenc OffRL 75 0 0 10 Feb 2025
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution Ke Xue Yutong Wang Cong Guan Lei Yuan Haobo Fu Qiang Fu Chao Qian Yang Yu 42 17 0 03 Jan 2025
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
Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference Qining Zhang Lei Ying OffRL 37 2 0 25 Sep 2024
Mimicry and the Emergence of Cooperative Communication Dylan R. Cope Peter McBurney 35 0 0 26 May 2024
Generalized Population-Based Training for Hyperparameter Optimization in Reinforcement Learning Hui Bai Ran Cheng 55 4 0 12 Apr 2024
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization Lijie Ding Jenny Zhang Jeff Clune Lee Spector Joel Lehman EGVM 37 7 0 18 Oct 2023
Quality Diversity under Sparse Reward and Sparse Interaction: Application to Grasping in Robotics J. Huber François Hélénon Miranda Coninx F. B. Amar Stéphane Doncieux 34 7 0 10 Aug 2023
Mirror Natural Evolution Strategies Haishan Ye 27 2 0 01 Aug 2023
Foundational Models Defining a New Era in Vision: A Survey and Outlook Muhammad Awais Muzammal Naseer Salman Khan Rao Muhammad Anwer Hisham Cholakkal M. Shah Ming Yang Fahad Shahbaz Khan VLM 38 119 0 25 Jul 2023
Robust Driving Policy Learning with Guided Meta Reinforcement Learning Kanghoon Lee Jiachen Li David Isele Jinkyoo Park K. Fujimura Mykel J. Kochenderfer 29 5 0 19 Jul 2023
Evolutionary Strategy Guided Reinforcement Learning via MultiBuffer Communication Adam Callaghan Karl Mason Patrick Mannion 37 2 0 20 Jun 2023
Evolving Populations of Diverse RL Agents with MAP-Elites Thomas Pierrot Arthur Flajolet 33 8 0 09 Mar 2023
Reinforced Genetic Algorithm for Structure-based Drug Design Tianfan Fu Wenhao Gao Connor W. Coley Jimeng Sun 38 51 0 28 Nov 2022
Efficient Exploration using Model-Based Quality-Diversity with Gradients Bryan Lim Manon Flageat Antoine Cully 23 4 0 22 Nov 2022
Learning General World Models in a Handful of Reward-Free Deployments Yingchen Xu Jack Parker-Holder Aldo Pacchiano Philip J. Ball Oleh Rybkin Stephen J. Roberts Tim Rocktaschel Edward Grefenstette OffRL 62 9 0 23 Oct 2022
Efficient circuit implementation for coined quantum walks on binary trees and application to reinforcement learning Thomas Mullor David Vigouroux Louis Bethune 18 0 0 13 Oct 2022
Neuroevolution is a Competitive Alternative to Reinforcement Learning for Skill Discovery Félix Chalumeau Raphael Boige Bryan Lim Valentin Macé Maxime Allard Arthur Flajolet Antoine Cully Thomas Pierrot 26 21 0 06 Oct 2022
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing Bryon Tjanaka Matthew C. Fontaine David H. Lee Aniruddha Kalkar Stefanos Nikolaidis 68 8 0 06 Oct 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 37 35 0 19 Sep 2022
Deep Surrogate Assisted Generation of Environments Varun Bhatt Bryon Tjanaka Matthew C. Fontaine Stefanos Nikolaidis 56 35 0 09 Jun 2022
Reinforcement Learning for Branch-and-Bound Optimisation using Retrospective Trajectories Christopher W. F. Parsonson Alexandre Laterre Thomas D. Barrett 25 19 0 28 May 2022
Covariance Matrix Adaptation MAP-Annealing Matthew C. Fontaine Stefanos Nikolaidis 48 25 0 22 May 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 26 324 0 02 May 2022
TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning Konstantin Sozykin Andrei Chertkov R. Schutski Anh-Huy Phan A. Cichocki Ivan Oseledets 14 35 0 30 Apr 2022
Gradient-free Multi-domain Optimization for Autonomous Systems Hongrui Zheng Johannes Betz Rahul Mangharam 16 7 0 28 Feb 2022
A Globally Convergent Evolutionary Strategy for Stochastic Constrained Optimization with Applications to Reinforcement Learning Youssef Diouane Aurelien Lucchi Vihang Patil 29 3 0 21 Feb 2022
Evolving Neural Networks with Optimal Balance between Information Flow and Connections Cost A. Khalili A. Bouchachia 17 0 0 12 Feb 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
Agent Spaces John C. Raisbeck M. W. Allen Hakho Lee 30 1 0 11 Nov 2021
Guiding Evolutionary Strategies by Differentiable Robot Simulators Vladislav Kurenkov Bulat Maksudov 31 2 0 01 Oct 2021
Deep Reinforcement Learning Versus Evolution Strategies: A Comparative Survey Amjad Yousef Majid Serge Saaybi Tomas van Rietbergen Vincent François-Lavet R. V. Prasad Chris Verhoeven OffRL 62 55 0 28 Sep 2021
Evolutionary Self-Replication as a Mechanism for Producing Artificial Intelligence Samuel Schmidgall Joe Hays 41 1 0 16 Sep 2021
Illuminating Diverse Neural Cellular Automata for Level Generation Sam Earle J. Snider Matthew C. Fontaine Stefanos Nikolaidis Julian Togelius 56 37 0 12 Sep 2021
Variational Quantum Reinforcement Learning via Evolutionary Optimization Samuel Yen-Chi Chen Chih-Min Huang Chia-Wei Hsing H. Goan Y. Kao 40 82 0 01 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning Susan Amin Maziar Gomrokchi Harsh Satija H. V. Hoof Doina Precup OffRL 32 80 0 01 Sep 2021
Differentiable Quality Diversity Matthew C. Fontaine Stefanos Nikolaidis 51 89 0 07 Jun 2021
Discovering Diverse Athletic Jumping Strategies Zhiqi Yin Zeshi Yang M. van de Panne KangKang Yin 42 46 0 02 May 2021
Sparse Reward Exploration via Novelty Search and Emitters Giuseppe Paolo Alexandre Coninx Stéphane Doncieux Alban Laflaquière 45 19 0 05 Feb 2021
Harnessing Distribution Ratio Estimators for Learning Agents with Quality and Diversity Tanmay Gangwani Jian Peng Yuanshuo Zhou 26 10 0 05 Nov 2020
Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation Wenhao Ding Baiming Chen Bo-wen Li Kim Ji Eun Ding Zhao AAML 16 100 0 16 Sep 2020
Non-local Policy Optimization via Diversity-regularized Collaborative Exploration Zhenghao Peng Hao Sun Bolei Zhou 18 18 0 14 Jun 2020
Gradient Monitored Reinforcement Learning Mohammed Sharafath Abdul Hameed Gavneet Singh Chadha Andreas Schwung S. Ding 33 10 0 25 May 2020
Should artificial agents ask for help in human-robot collaborative problem-solving? Adrien Bennetot V. Charisi Natalia Díaz Rodríguez 21 8 0 25 May 2020
Novel Policy Seeking with Constrained Optimization Hao Sun Zhenghao Peng Bo Dai Jian Guo Dahua Lin Bolei Zhou 24 13 0 21 May 2020
First return, then explore Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune 47 351 0 27 Apr 2020
Fiber: A Platform for Efficient Development and Distributed Training for Reinforcement Learning and Population-Based Methods Jiale Zhi Rui Wang Jeff Clune Kenneth O. Stanley OffRL 30 12 0 25 Mar 2020
Scaling MAP-Elites to Deep Neuroevolution Cédric Colas Joost Huizinga Vashisht Madhavan Jeff Clune 33 86 0 03 Mar 2020
AutoPhase: Juggling HLS Phase Orderings in Random Forests with Deep Reinforcement Learning Qijing Huang Ameer Haj-Ali William S. Moses J. Xiang Ion Stoica Krste Asanović J. Wawrzynek 21 56 0 02 Mar 2020
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization Aritz D. Martinez E. Osaba Javier Del Ser Francisco Herrera 22 10 0 25 Feb 2020