Go-Explore: a New Approach for Hard-Exploration Problems

30 January 2019

Jeff Clune

Papers citing "Go-Explore: a New Approach for Hard-Exploration Problems"

50 / 77 papers shown

Title
Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments Licheng Luo Mingyu Cai 38 0 0 09 Apr 2025
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning Yongshuai Liu Xin Liu GAN 100 2 0 24 Mar 2025
Causally Aligned Curriculum Learning Mingxuan Li Junzhe Zhang Elias Bareinboim CML 61 3 0 21 Mar 2025
CAIMAN: Causal Action Influence Detection for Sample-efficient Loco-manipulation Yuanchen Yuan Jin Cheng Núria Armengol Urpí Stelian Coros 71 1 0 02 Feb 2025
Synthesizing Evolving Symbolic Representations for Autonomous Systems Gabriele Sartor A. Oddi R. Rasconi V. Santucci Rosa Meo 21 0 0 18 Sep 2024
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 33 3 0 18 Jul 2024
Exploration by Learning Diverse Skills through Successor State Measures Paul-Antoine Le Tolguenec Yann Besse Florent Teichteil-Königsbuch Dennis G. Wilson Emmanuel Rachelson 38 0 0 14 Jun 2024
Intelligent Go-Explore: Standing on the Shoulders of Giant Foundation Models Cong Lu Shengran Hu Jeff Clune LLMAG 44 10 0 24 May 2024
Where2Start: Leveraging initial States for Robust and Sample-Efficient Reinforcement Learning Pouya Parsa Raoof Zare Moayedi Mohammad Bornosi Mohammad Mahdi Bejani 17 0 0 25 Nov 2023
Variational Curriculum Reinforcement Learning for Unsupervised Discovery of Skills Seongun Kim Kyowoon Lee Jaesik Choi SSL DRL 41 7 0 30 Oct 2023
Cognitive Architectures for Language Agents T. Sumers Shunyu Yao Karthik Narasimhan Thomas L. Griffiths LLMAG LM&Ro 45 152 0 05 Sep 2023
Rating-based Reinforcement Learning Devin White Mingkang Wu Ellen R. Novoseller Vernon J. Lawhern Nicholas R. Waytowich Yongcan Cao ALM 19 6 0 30 Jul 2023
State Representation Learning Using an Unbalanced Atlas Li Meng Morten Goodwin Anis Yazidi P. Engelstad 26 2 0 17 May 2023
Accelerating exploration and representation learning with offline pre-training Bogdan Mazoure Jake Bruce Doina Precup Rob Fergus Ankit Anand OffRL 31 5 0 31 Mar 2023
Exploring Novel Quality Diversity Methods For Generalization in Reinforcement Learning Bradford T. Windsor Brandon O'Shea Mengxi Wu 30 0 0 26 Mar 2023
Fast Rates for Maximum Entropy Exploration D. Tiapkin Denis Belomestny Daniele Calandriello Eric Moulines Rémi Munos A. Naumov Pierre Perrault Yunhao Tang Michal Valko Pierre Menard 41 17 0 14 Mar 2023
Sample Efficient Deep Reinforcement Learning via Local Planning Dong Yin S. Thiagarajan N. Lazić Nived Rajaraman Botao Hao Csaba Szepesvári 20 4 0 29 Jan 2023
Multi-Agent Interplay in a Competitive Survival Environment Andrea Fanti 18 0 0 19 Jan 2023
Learning Goal-Conditioned Policies Offline with Self-Supervised Reward Shaping Lina Mezghani Sainbayar Sukhbaatar Piotr Bojanowski A. Lazaric Alahari Karteek OffRL 39 18 0 05 Jan 2023
Leveraging Sequentiality in Reinforcement Learning from a Single Demonstration Alexandre Chenu Olivier Serris Olivier Sigaud Nicolas Perrin-Gilbert 12 4 0 09 Nov 2022
Goal Exploration Augmentation via Pre-trained Skills for Sparse-Reward Long-Horizon Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 26 3 0 28 Oct 2022
Augmentative Topology Agents For Open-Ended Learning Muhammad Umair Nasir Michael Beukman Steven D. James C. Cleghorn 27 3 0 20 Oct 2022
Exploration via Elliptical Episodic Bonuses Mikael Henaff Roberta Raileanu Minqi Jiang Tim Rocktaschel OffRL 29 39 0 11 Oct 2022
Delayed Geometric Discounts: An Alternative Criterion for Reinforcement Learning Firas Jarboui Ahmed Akakzia 16 0 0 26 Sep 2022
An information-theoretic perspective on intrinsic motivation in reinforcement learning: a survey A. Aubret L. Matignon S. Hassas 31 35 0 19 Sep 2022
Go-Explore Complex 3D Game Environments for Automated Reachability Testing Cong Lu Raluca Georgescu J. Verwey 17 7 0 01 Sep 2022
Reactive Exploration to Cope with Non-Stationarity in Lifelong Reinforcement Learning C. Steinparz Thomas Schmied Fabian Paischer Marius-Constantin Dinu Vihang Patil Angela Bitto-Nemling Hamid Eghbalzadeh Sepp Hochreiter CLL 24 11 0 12 Jul 2022
MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge Linxi Fan Guanzhi Wang Yunfan Jiang Ajay Mandlekar Yuncong Yang Haoyi Zhu Andrew Tang De-An Huang Yuke Zhu Anima Anandkumar LM&Ro 42 348 0 17 Jun 2022
BYOL-Explore: Exploration by Bootstrapped Prediction Z. Guo S. Thakoor Miruna Pislar Bernardo Avila-Pires Florent Altché ... Yunhao Tang Michal Valko Rémi Munos M. G. Azar Bilal Piot 22 68 0 16 Jun 2022
Divide & Conquer Imitation Learning Alexandre Chenu Nicolas Perrin-Gilbert Olivier Sigaud 8 5 0 15 Apr 2022
Jump-Start Reinforcement Learning Ikechukwu Uchendu Ted Xiao Yao Lu Banghua Zhu Mengyuan Yan ... Chuyuan Fu Cong Ma Jiantao Jiao Sergey Levine Karol Hausman OffRL OnRL 33 109 0 05 Apr 2022
Rényi State Entropy for Exploration Acceleration in Reinforcement Learning Mingqi Yuan Man-On Pun Dong Wang 14 23 0 08 Mar 2022
Follow your Nose: Using General Value Functions for Directed Exploration in Reinforcement Learning Durgesh Kalwar Omkar Shelke Somjit Nath Hardik Meisheri H. Khadilkar 14 1 0 02 Mar 2022
DeepRNG: Towards Deep Reinforcement Learning-Assisted Generative Testing of Software Chuan-Yung Tsai Graham W. Taylor 6 2 0 29 Jan 2022
Learning to Minimize Cost-to-Serve for Multi-Node Multi-Product Order Fulfilment in Electronic Commerce Pranavi Pathakota Kunwar Zaid Anulekha Dhara Hardik Meisheri Shaun C. D'Souza Dheeraj Shah H. Khadilkar 16 4 0 16 Dec 2021
Play to Grade: Testing Coding Games as Classifying Markov Decision Process Allen Nie Emma Brunskill Chris Piech 21 11 0 27 Oct 2021
Hit and Lead Discovery with Explorative RL and Fragment-based Molecule Generation Soojung Yang Doyeong Hwang Seul Lee Seongok Ryu Sung Ju Hwang 34 67 0 04 Oct 2021
Reinforcement Learning with Information-Theoretic Actuation Elliot Catt Marcus Hutter J. Veness 37 0 0 30 Sep 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 57 54 0 28 Sep 2021
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research Mikayel Samvelyan Robert Kirk Vitaly Kurin Jack Parker-Holder Minqi Jiang Eric Hambro Fabio Petroni Heinrich Küttler Edward Grefenstette Tim Rocktaschel OffRL 238 89 0 27 Sep 2021
On Bonus-Based Exploration Methods in the Arcade Learning Environment Adrien Ali Taïga W. Fedus Marlos C. Machado Aaron Courville Marc G. Bellemare 16 58 0 22 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 33 92 0 14 Sep 2021
Deep Reinforcement Learning at the Edge of the Statistical Precipice Rishabh Agarwal Max Schwarzer P. S. Castro Aaron Courville Marc G. Bellemare OffRL 41 633 0 30 Aug 2021
When should agents explore? Miruna Pislar David Szepesvari Georg Ostrovski Diana Borsa Tom Schaul 29 22 0 26 Aug 2021
Explaining Bayesian Neural Networks Kirill Bykov Marina M.-C. Höhne Adelaida Creosteanu Klaus-Robert Muller Frederick Klauschen Shinichi Nakajima Marius Kloft BDL AAML 31 25 0 23 Aug 2021
Shortest-Path Constrained Reinforcement Learning for Sparse Reward Tasks Sungryull Sohn Sungtae Lee Jongwook Choi H. V. Seijen Mehdi Fatemi Honglak Lee 105 3 0 13 Jul 2021
A Systematic Survey of Text Worlds as Embodied Natural Language Environments Peter Alexander Jansen LM&Ro 18 21 0 08 Jul 2021
Hierarchical Representation Learning for Markov Decision Processes Lorenzo Steccanella Simone Totaro Anders Jonsson 11 4 0 03 Jun 2021
Ensemble Feature Extraction for Multi-Container Quality-Diversity Algorithms L. Cazenille 19 9 0 03 May 2021
Generating and Blending Game Levels via Quality-Diversity in the Latent Space of a Variational Autoencoder Anurag Sarkar Seth Cooper 16 30 0 24 Feb 2021