Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari

24 February 2018

Papers citing "Back to Basics: Benchmarking Canonical Evolution Strategies for Playing Atari"

41 / 41 papers shown

Title
Evolutionary Policy Optimization Jianren Wang Yifan Su Abhinav Gupta Deepak Pathak 47 0 0 24 Mar 2025
EvoRL: A GPU-accelerated Framework for Evolutionary Reinforcement Learning Bowen Zheng Ran Cheng Kay Chen Tan 34 0 0 25 Jan 2025
Quality with Just Enough Diversity in Evolutionary Policy Search Paul Templier Luca Grillotti Emmanuel Rachelson Dennis G. Wilson Antoine Cully 29 1 0 07 May 2024
Single- and Multi-Agent Private Active Sensing: A Deep Neuroevolution Approach George Stamatelis Angelos-Nikolaos Kanatas Ioannis Asprogerakas G. C. Alexandropoulos 23 1 0 15 Mar 2024
Random Search as a Baseline for Sparse Neural Network Architecture Search Rezsa Farahani 16 0 0 13 Mar 2024
Evolutionary Machine Learning and Games Julian Togelius Ahmed Khalifa Sam Earle M. Green Lisa Soros 40 1 0 20 Nov 2023
MP3: Movement Primitive-Based (Re-)Planning Policy Fabian Otto Hongyi Zhou Onur Celik Ge Li Rudolf Lioutikov Gerhard Neumann 18 5 0 22 Jun 2023
Unlocking the Power of Representations in Long-term Novelty-based Exploration Alaa Saade Steven Kapturowski Daniele Calandriello Charles Blundell Pablo Sprechmann Leopoldo Sarra Oliver Groth Michal Valko Bilal Piot OffRL 26 6 0 02 May 2023
Exploring Novel Quality Diversity Methods For Generalization in Reinforcement Learning Bradford T. Windsor Brandon O'Shea Mengxi Wu 28 0 0 26 Mar 2023
Evolutionary Reinforcement Learning: A Survey Hui Bai Ran Cheng Yaochu Jin OffRL 43 52 0 07 Mar 2023
Enabling surrogate-assisted evolutionary reinforcement learning via policy embedding Lan Tang Xiaxi Li Jinyuan Zhang Guiying Li Peng Yang Ke Tang 10 0 0 31 Jan 2023
Curiosity creates Diversity in Policy Search Paul-Antoine Le Tolguenec Emmanuel Rachelson Yann Besse Dennis G. Wilson 10 2 0 07 Dec 2022
Adaptive Scenario Subset Selection for Worst-Case Optimization and its Application to Well Placement Optimization Atsuhiro Miyagi Kazuto Fukuchi Jun Sakuma Youhei Akimoto 21 1 0 29 Nov 2022
Deep Black-Box Reinforcement Learning with Movement Primitives Fabian Otto Onur Celik Hongyi Zhou Hanna Ziesche Ngo Anh Vien Gerhard Neumann OffRL 21 19 0 18 Oct 2022
Automated Dynamic Algorithm Configuration Steven Adriaensen André Biedenkapp Gresa Shala Noor H. Awad Theresa Eimer Marius Lindauer Frank Hutter 29 36 0 27 May 2022
Multitask Neuroevolution for Reinforcement Learning with Long and Short Episodes Nick Zhang Abhishek Gupta Zefeng Chen Yew-Soon Ong 13 7 0 21 Mar 2022
Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder Raghunandan Rajan Xingyou Song André Biedenkapp Yingjie Miao ... Vu-Linh Nguyen Roberto Calandra Aleksandra Faust Frank Hutter Marius Lindauer AI4CE 30 100 0 11 Jan 2022
Guiding Evolutionary Strategies by Differentiable Robot Simulators Vladislav Kurenkov Bulat Maksudov 24 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 54 54 0 28 Sep 2021
Understanding and Avoiding AI Failures: A Practical Guide R. M. Williams Roman V. Yampolskiy 16 23 0 22 Apr 2021
Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach Shashi Suman Ali Etemad F. Rivest 16 15 0 26 Feb 2021
Derivative-Free Reinforcement Learning: A Review Hong Qian Yang Yu OffRL 6 42 0 10 Feb 2021
The Factory Must Grow: Automation in Factorio Kenneth N. Reid Iliya Miralavy Stephen Kelly W. Banzhaf C. Gondro OffRL 16 5 0 09 Feb 2021
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated Search Hu Zhang Peng Yang Yang Yu Mingjiang Li K. Tang 9 20 0 08 Sep 2020
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges Aritz D. Martinez Javier Del Ser Esther Villar-Rodriguez E. Osaba Javier Poyatos S. Tabik Daniel Molina Francisco Herrera 29 26 0 09 Aug 2020
Monte-Carlo Tree Search for Policy Optimization Xiaobai Ma Katherine Driggs-Campbell Zongzhang Zhang Mykel J. Kochenderfer 17 6 0 23 Dec 2019
Learning Neural Search Policies for Classical Planning Pawel Gomoluch Dalal Alrajeh A. Russo A. Bucchiarone 11 10 0 27 Nov 2019
Parallel Exploration via Negatively Correlated Search Peng Yang Qi Yang K. Tang Xin Yao 18 13 0 16 Oct 2019
MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning Raghunandan Rajan Jessica Lizeth Borja Diaz Suresh Guttikonda Fabio Ferreira André Biedenkapp Jan Ole von Hartz Frank Hutter 27 3 0 17 Sep 2019
Terminal Prediction as an Auxiliary Task for Deep Reinforcement Learning Bilal Kartal Pablo Hernandez-Leal Matthew E. Taylor 25 28 0 24 Jul 2019
Evolvability ES: Scalable and Direct Optimization of Evolvability A. Gajewski Jeff Clune Kenneth O. Stanley Joel Lehman 8 26 0 13 Jul 2019
Revenue, Relevance, Arbitrage and More: Joint Optimization Framework for Search Experiences in Two-Sided Marketplaces Andrew Stanton Akhila Ananthram Congzhe Su Liangjie Hong 12 4 0 15 May 2019
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges Rob Ashmore R. Calinescu Colin Paterson AI4TS 19 116 0 10 May 2019
There are No Bit Parts for Sign Bits in Black-Box Attacks Abdullah Al-Dujaili Una-May O’Reilly AAML 18 20 0 19 Feb 2019
Go-Explore: a New Approach for Hard-Exploration Problems Adrien Ecoffet Joost Huizinga Joel Lehman Kenneth O. Stanley Jeff Clune AI4TS 17 361 0 30 Jan 2019
Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks Xiaodong Cui Wei Zhang Zoltán Tüske M. Picheny ODL 11 89 0 16 Oct 2018
Improving width-based planning with compact policies Miquel Junyent Anders Jonsson Vicencc Gómez OffRL 11 1 0 15 Jun 2018
Playing Atari with Six Neurons Giuseppe Cuccu Julian Togelius Philippe Cudré-Mauroux 18 43 0 04 Jun 2018
Challenges in High-dimensional Reinforcement Learning with Evolution Strategies Nils Müller Tobias Glasmachers 16 28 0 04 Jun 2018
Policy Search in Continuous Action Domains: an Overview Olivier Sigaud F. Stulp 11 72 0 13 Mar 2018
The Surprising Creativity of Digital Evolution: A Collection of Anecdotes from the Evolutionary Computation and Artificial Life Research Communities Joel Lehman Jeff Clune D. Misevic C. Adami L. Altenberg ... Danesh Tarapore S. Thibault Westley Weimer R. Watson Jason Yosinksi 10 279 0 09 Mar 2018