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#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

15 November 2016

Pieter Abbeel

Papers citing "#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning"

50 / 466 papers shown

Title
Learning Synthetic Environments and Reward Networks for Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2022 Fabio Ferreira Thomas Nierhoff Andreas Saelinger Katharina Eggensperger 98 4 0 06 Feb 2022
Generative Adversarial Exploration for Reinforcement LearningInternational Conference on Distributed Artificial Intelligence (DAI), 2019 Weijun Hong Menghui Zhu Minghuan Liu Weinan Zhang Ming Zhou Yong Yu Yang Liu OnRL 104 10 0 27 Jan 2022
Learning to Act with Affordance-Aware Multimodal Neural SLAMIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 Zhiwei Jia Kaixiang Lin Yizhou Zhao Qiaozi Gao Govind Thattai Gaurav Sukhatme LM&Ro 173 16 0 24 Jan 2022
From Psychological Curiosity to Artificial Curiosity: Curiosity-Driven Learning in Artificial Intelligence Tasks Chenyu Sun Hangwei Qian Chunyan Miao 164 13 0 20 Jan 2022
STIR $^2$ : Reward Relabelling for combined Reinforcement and Imitation Learning on sparse-reward tasksAdaptive Agents and Multi-Agent Systems (AAMAS), 2022 Jesús Bujalance Martín Fabien Moutarde OffRL 155 2 0 11 Jan 2022
Multi-Stage Episodic Control for Strategic Exploration in Text GamesInternational Conference on Learning Representations (ICLR), 2022 Jens Tuyls Shunyu Yao Sham Kakade Karthik Narasimhan 222 29 0 04 Jan 2022
On the Unreasonable Efficiency of State Space Clustering in Personalization Tasks Anton Dereventsov R. Vatsavai Clayton Webster 152 5 0 24 Dec 2021
Unsupervised Reinforcement Learning in Multiple Environments Mirco Mutti Mattia Mancassola Marcello Restelli OffRL 104 27 0 16 Dec 2021
A Benchmark for Low-Switching-Cost Reinforcement Learning Shusheng Xu Yancheng Liang Yunfei Li S. Du Yi Wu OffRL 125 0 0 13 Dec 2021
An Experimental Design Perspective on Model-Based Reinforcement Learning Viraj Mehta Biswajit Paria J. Schneider Stefano Ermon Willie Neiswanger OffRL 168 23 0 09 Dec 2021
Information is Power: Intrinsic Control via Information Capture Nick Rhinehart Jenny Wang Glen Berseth John D. Co-Reyes Danijar Hafner Chelsea Finn Sergey Levine 149 10 0 07 Dec 2021
Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2021 Rujie Zhong Duohan Zhang Lukas Schafer Stefano V. Albrecht Josiah P. Hanna OOD OffRL 207 15 0 29 Nov 2021
Interesting Object, Curious Agent: Learning Task-Agnostic ExplorationNeural Information Processing Systems (NeurIPS), 2021 Simone Parisi Victoria Dean Deepak Pathak Abhinav Gupta LM&Ro 146 54 0 25 Nov 2021
Episodic Multi-agent Reinforcement Learning with Curiosity-Driven ExplorationNeural Information Processing Systems (NeurIPS), 2021 Lu Zheng Jiarui Chen Jianhao Wang Jiamin He Yujing Hu Yingfeng Chen Changjie Fan Yang Gao Chongjie Zhang 129 107 0 22 Nov 2021
Uncertainty-aware Low-Rank Q-Matrix Estimation for Deep Reinforcement LearningInternational Conference on Distributed Artificial Intelligence (DAI), 2021 Tong Sang Hongyao Tang Jianye Hao Yan Zheng Zhaopeng Meng 121 2 0 19 Nov 2021
Agent Spaces John C. Raisbeck M. W. Allen Hakho Lee 130 1 0 11 Nov 2021
Learning to Explore by Reinforcement over High-Level OptionsMachine Vision and Applications (MVA), 2021 Juncheng Liu B. McCane S. Mills EgoV 96 2 0 02 Nov 2021
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning Junsup Kim Younggyo Seo Jinwoo Shin 296 74 0 26 Oct 2021
Off-policy Reinforcement Learning with Optimistic Exploration and Distribution Correction A. Ahmad Shuo Cheng D. Saraswat Aly El Gamal Wenjie Wang Gurmukh Johal OffRL OnRL 147 1 0 22 Oct 2021
Anti-Concentrated Confidence Bonuses for Scalable ExplorationInternational Conference on Learning Representations (ICLR), 2021 Jordan T. Ash Cyril Zhang Surbhi Goel A. Krishnamurthy Sham Kakade 229 8 0 21 Oct 2021
Hierarchical Skills for Efficient ExplorationNeural Information Processing Systems (NeurIPS), 2021 Jonas Gehring Gabriel Synnaeve Andreas Krause Nicolas Usunier 175 46 0 20 Oct 2021
Dynamic Bottleneck for Robust Self-Supervised ExplorationNeural Information Processing Systems (NeurIPS), 2021 Chenjia Bai Lingxiao Wang Lei Han Animesh Garg Jianye Hao Peng Liu Zhaoran Wang 108 35 0 20 Oct 2021
Continuous Control with Action Quantization from Demonstrations Robert Dadashi Léonard Hussenot Damien Vincent Sertan Girgin Anton Raichuk Matthieu Geist Olivier Pietquin OffRL 153 29 0 19 Oct 2021
Provable RL with Exogenous Distractors via Multistep Inverse Dynamics Yonathan Efroni Dipendra Kumar Misra A. Krishnamurthy Alekh Agarwal John Langford OffRL 178 24 0 17 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 242 82 0 28 Sep 2021
Exploratory State Representation Learning Astrid Merckling Nicolas Perrin-Gilbert Alexandre Coninx Stéphane Doncieux OffRL 164 6 0 28 Sep 2021
Exploring More When It Needs in Deep Reinforcement Learning Youtian Guo Qitong Gao 67 0 0 28 Sep 2021
On Bonus-Based Exploration Methods in the Arcade Learning EnvironmentInternational Conference on Learning Representations (ICLR), 2020 Adrien Ali Taïga W. Fedus Marlos C. Machado Aaron Courville Marc G. Bellemare 100 68 0 22 Sep 2021
Density-based Curriculum for Multi-goal Reinforcement Learning with Sparse Rewards Deyu Yang Hanbo Zhang Xuguang Lan Jishiyu Ding OffRL 146 2 0 18 Sep 2021
Knowledge is reward: Learning optimal exploration by predictive reward cashing L. Ambrogioni 78 1 0 17 Sep 2021
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Zhenxing Ge Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 243 144 0 14 Sep 2021
ADER:Adapting between Exploration and Robustness for Actor-Critic Methods Bo Zhou Kejiao Li Hongsheng Zeng Fan Wang Hao Tian OffRL 105 1 0 08 Sep 2021
Eden: A Unified Environment Framework for Booming Reinforcement Learning Algorithms Ruizhi Chen Xiaoyu Wu Yansong Pan Kaizhao Yuan Ling Li ... Shaohui Peng Xishan Zhang Zidong Du Qi Guo Yunji Chen OffRL 91 3 0 04 Sep 2021
Influence-Based Reinforcement Learning for Intrinsically-Motivated Agents Ammar Fayad M. Ibrahim 142 5 0 28 Aug 2021
Playtesting: What is Beyond PersonasIEEE Transactions on Games (IEEE Trans. Games), 2021 Sinan Ariyurek Elif Surer Aysu Betin Can 114 8 0 26 Jul 2021
Cooperative Exploration for Multi-Agent Deep Reinforcement LearningInternational Conference on Machine Learning (ICML), 2021 Iou-Jen Liu Unnat Jain Raymond A. Yeh Alex Schwing 195 121 0 23 Jul 2021
Decoupled Reinforcement Learning to Stabilise Intrinsically-Motivated ExplorationAdaptive Agents and Multi-Agent Systems (AAMAS), 2021 Lukas Schafer Filippos Christianos Josiah P. Hanna Stefano V. Albrecht 156 24 0 19 Jul 2021
MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement LearningInternational Conference on Machine Learning (ICML), 2021 Kevin Wenliang Li Abhishek Gupta Ashwin Reddy Vitchyr H. Pong Aurick Zhou Justin Yu Sergey Levine UQCV 143 35 0 15 Jul 2021
SocialAI: Benchmarking Socio-Cognitive Abilities in Deep Reinforcement Learning Agents Grgur Kovač Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer ALM 180 6 0 02 Jul 2021
Curious Explorer: a provable exploration strategy in Policy LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 M. Miani Maurizio Parton M. Romito 269 1 0 29 Jun 2021
MADE: Exploration via Maximizing Deviation from Explored RegionsNeural Information Processing Systems (NeurIPS), 2021 Tianjun Zhang Paria Rashidinejad Jiantao Jiao Yuandong Tian Joseph E. Gonzalez Stuart J. Russell OffRL 172 47 0 18 Jun 2021
Offline Reinforcement Learning as Anti-ExplorationAAAI Conference on Artificial Intelligence (AAAI), 2021 Shideh Rezaeifar Robert Dadashi Nino Vieillard Léonard Hussenot Olivier Bachem Olivier Pietquin Matthieu Geist OffRL 176 60 0 11 Jun 2021
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-trainingInternational Conference on Machine Learning (ICML), 2021 Kimin Lee Laura M. Smith Pieter Abbeel OffRL 278 344 0 09 Jun 2021
DisTop: Discovering a Topological representation to learn diverse and rewarding skillsIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2021 A. Aubret L. Matignon S. Hassas 160 12 0 06 Jun 2021
What Can I Do Here? Learning New Skills by Imagining Visual AffordancesIEEE International Conference on Robotics and Automation (ICRA), 2021 Alexander Khazatsky Ashvin Nair Dan Jing Sergey Levine LM&Ro 202 36 0 01 Jun 2021
Don't Do What Doesn't Matter: Intrinsic Motivation with Action UsefulnessInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Mathieu Seurin Florian Strub Philippe Preux Olivier Pietquin 112 9 0 20 May 2021
Improved Exploring Starts by Kernel Density Estimation-Based State-Space Coverage Acceleration in Reinforcement Learning Maximilian Schenke Oliver Wallscheid OffRL 175 5 0 19 May 2021
Non-decreasing Quantile Function Network with Efficient Exploration for Distributional Reinforcement LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2021 Fan Zhou Zhoufan Zhu Qi Kuang Liwen Zhang OffRL 162 19 0 14 May 2021
Principled Exploration via Optimistic Bootstrapping and Backward InductionInternational Conference on Machine Learning (ICML), 2021 Chenjia Bai Lingxiao Wang Lei Han Jianye Hao Animesh Garg Peng Liu Zhaoran Wang OffRL 164 45 0 13 May 2021
Curious Representation Learning for Embodied IntelligenceIEEE International Conference on Computer Vision (ICCV), 2021 Yilun Du Chuang Gan Phillip Isola SSL LM&Ro 314 46 0 03 May 2021