v1v2v3 (latest)

#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
Controlling Continuous Relaxation for Combinatorial OptimizationNeural Information Processing Systems (NeurIPS), 2023 Yuma Ichikawa 316 11 0 29 Sep 2023
Go Beyond Imagination: Maximizing Episodic Reachability with World ModelsInternational Conference on Machine Learning (ICML), 2023 Yao Fu Run Peng Honglak Lee 99 1 0 25 Aug 2023
FoX: Formation-aware exploration in multi-agent reinforcement learningAAAI Conference on Artificial Intelligence (AAAI), 2023 Yonghyeon Jo Sunwoo Lee Junghyuk Yum Seungyul Han 194 12 0 22 Aug 2023
Never Explore Repeatedly in Multi-Agent Reinforcement Learning Chenghao Li Tonghan Wang Chongjie Zhang Qianchuan Zhao 135 2 0 19 Aug 2023
Controlling Character Motions without Observable Driving SourceIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Weiyuan Li Bin Dai Ziyi Zhou Qi Yao Baoyuan Wang VGen 102 3 0 11 Aug 2023
Beyond Surprise: Improving Exploration Through Surprise NoveltyAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 Hung Le Kien Do D. Nguyen Svetha Venkatesh 154 4 0 09 Aug 2023
Balancing Exploration and Exploitation in Hierarchical Reinforcement Learning via Latent Landmark GraphsIEEE International Joint Conference on Neural Network (IJCNN), 2023 Qingyang Zhang Yiming Yang Jingqing Ruan Xuantang Xiong Dengpeng Xing Bo Xu 144 4 0 22 Jul 2023
Hindsight-DICE: Stable Credit Assignment for Deep Reinforcement Learning Akash Velu Skanda Vaidyanath Dilip Arumugam OffRL 220 2 0 21 Jul 2023
Model-based Offline Reinforcement Learning with Count-based ConservatismInternational Conference on Machine Learning (ICML), 2023 Byeongchang Kim Min Hwan Oh OffRL 155 14 0 21 Jul 2023
Goal-Conditioned Reinforcement Learning with Disentanglement-based Reachability PlanningIEEE Robotics and Automation Letters (RA-L), 2023 Zhifeng Qian Mingyu You Hongjun Zhou Xuanhui Xu Bin He 214 5 0 20 Jul 2023
The SocialAI School: Insights from Developmental Psychology Towards Artificial Socio-Cultural Agents Grgur Kovač Rémy Portelas Peter Ford Dominey Pierre-Yves Oudeyer 142 27 0 15 Jul 2023
Intrinsically motivated graph exploration using network theories of human curiosityLOG IN (LOG IN), 2023 Shubhankar P. Patankar Mathieu Ouellet J. Cerviño Alejandro Ribeiro Kieran A. Murphy Danielle Bassett 170 2 0 11 Jul 2023
Curious Replay for Model-based AdaptationInternational Conference on Machine Learning (ICML), 2023 Isaac Kauvar Christopher Doyle Linqi Zhou Nick Haber 141 16 0 28 Jun 2023
RL $^3$ : Boosting Meta Reinforcement Learning via RL inside RL $^2$ Abhinav Bhatia Samer B. Nashed S. Zilberstein OffRL 319 0 0 28 Jun 2023
CLUE: Calibrated Latent Guidance for Offline Reinforcement LearningConference on Robot Learning (CoRL), 2023 Jinxin Liu Lipeng Zu Li He Xuetao Zhang OffRL 232 10 0 23 Jun 2023
Improving Offline-to-Online Reinforcement Learning with Q-EnsemblesAdaptive Agents and Multi-Agent Systems (AAMAS), 2023 Kai-Wen Zhao Yi-An Ma Jianye Hao Jinyi Liu Yan Zheng Zhaopeng Meng OffRL OnRL 305 18 0 12 Jun 2023
Multi-agent Exploration with Sub-state Entropy EstimationIEEE International Joint Conference on Neural Network (IJCNN), 2023 Jian Tao Yang Zhang Yang Chen Xiu Li 151 2 0 10 Jun 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPsInternational Conference on Machine Learning (ICML), 2023 Mikael Henaff Minqi Jiang Roberta Raileanu 160 15 0 05 Jun 2023
Flipping Coins to Estimate Pseudocounts for Exploration in Reinforcement LearningInternational Conference on Machine Learning (ICML), 2023 Sam Lobel Akhil Bagaria George Konidaris 189 28 0 05 Jun 2023
Latent Exploration for Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023 A. Chiappa Alessandro Marin Vargas Ann Zixiang Huang Alexander Mathis 237 26 0 31 May 2023
Accelerating Reinforcement Learning with Value-Conditional State Entropy ExplorationNeural Information Processing Systems (NeurIPS), 2023 Dongyoung Kim Jinwoo Shin Pieter Abbeel Younggyo Seo 145 29 0 31 May 2023
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte CarloInternational Conference on Learning Representations (ICLR), 2023 Haque Ishfaq Qingfeng Lan Pan Xu A. R. Mahmood Doina Precup Anima Anandkumar Kamyar Azizzadenesheli BDL OffRL 252 27 0 29 May 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple ReuseInformation Sciences (Inf. Sci.), 2023 Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 162 14 0 29 May 2023
End-to-End Meta-Bayesian Optimisation with Transformer Neural ProcessesNeural Information Processing Systems (NeurIPS), 2023 A. Maraval Matthieu Zimmer Antoine Grosnit H. Ammar BDL 362 25 0 25 May 2023
Developmental Curiosity and Social Interaction in Virtual AgentsAnnual Meeting of the Cognitive Science Society (CogSci), 2023 Christopher Doyle Sarah Shader M. Lau Megumi Sano Daniel L. K. Yamins Nick Haber LRM 108 2 0 22 May 2023
MIMEx: Intrinsic Rewards from Masked Input ModelingNeural Information Processing Systems (NeurIPS), 2023 Toru Lin Allan Jabri OffRL 215 7 0 15 May 2023
Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators Alexander Herzog Kanishka Rao Karol Hausman Yao Lu Paul Wohlhart ... Noah Brown Mrinal Kalakrishnan Julian Ibarz P. Pastor Sergey Levine OffRL 192 36 0 05 May 2023
Unlocking the Power of Representations in Long-term Novelty-based ExplorationInternational Conference on Learning Representations (ICLR), 2023 Alaa Saade Steven Kapturowski Daniele Calandriello Charles Blundell Pablo Sprechmann Leopoldo Sarra Oliver Groth Michal Valko Bilal Piot OffRL 258 8 0 02 May 2023
An Autonomous Non-monolithic Agent with Multi-mode Exploration based on Options FrameworkIEEE International Joint Conference on Neural Network (IJCNN), 2023 JaeYoon Kim Junyu Xuan Christy Jie Liang F. Hussain 299 1 0 02 May 2023
Representations and Exploration for Deep Reinforcement Learning using Singular Value DecompositionInternational Conference on Machine Learning (ICML), 2023 Yash Chandak S. Thakoor Z. Guo Yunhao Tang Rémi Munos Will Dabney Diana Borsa 255 6 0 01 May 2023
Learning Achievement Structure for Structured Exploration in Domains with Sparse RewardInternational Conference on Learning Representations (ICLR), 2023 Zihan Zhou Animesh Garg OffRL 229 4 0 30 Apr 2023
DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic RewardsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Shanchuan Wan Yujin Tang Yingtao Tian Tomoyuki Kaneko OffRL 123 7 0 21 Apr 2023
Aiding reinforcement learning for set point controlIFAC-PapersOnLine (IFAC-PapersOnLine), 2023 Ruoqing Zhang Per Mattsson T. Wigren 160 3 0 20 Apr 2023
Provably Feedback-Efficient Reinforcement Learning via Active Reward LearningNeural Information Processing Systems (NeurIPS), 2023 Dingwen Kong Lin F. Yang 205 16 0 18 Apr 2023
Affordances from Human Videos as a Versatile Representation for RoboticsComputer Vision and Pattern Recognition (CVPR), 2023 Shikhar Bahl Russell Mendonca Lili Chen Unnat Jain Deepak Pathak 315 244 0 17 Apr 2023
Accelerating exploration and representation learning with offline pre-training Bogdan Mazoure Jake Bruce Doina Precup Rob Fergus Ankit Anand OffRL 221 7 0 31 Mar 2023
Conditionally Optimistic Exploration for Cooperative Deep Multi-Agent Reinforcement LearningConference on Uncertainty in Artificial Intelligence (UAI), 2023 Xutong Zhao Yangchen Pan Chenjun Xiao Sarath Chandar Janarthanan Rajendran 251 8 0 16 Mar 2023
Failure-aware Policy Learning for Self-assessable Robotics TasksIEEE International Conference on Robotics and Automation (ICRA), 2023 Kechun Xu Runjian Chen Shuqing Zhao Zizhang Li Hongxiang Yu Ci Chen Yue Wang R. Xiong 175 2 0 25 Feb 2023
Self-supervised network distillation: an effective approach to exploration in sparse reward environmentsNeurocomputing (Neurocomputing), 2023 Matej Pecháč M. Chovanec Igor Farkaš 186 8 0 22 Feb 2023
Efficient Exploration via Epistemic-Risk-Seeking Policy OptimizationInternational Conference on Machine Learning (ICML), 2023 Brendan O'Donoghue OffRL 238 9 0 18 Feb 2023
ALAN: Autonomously Exploring Robotic Agents in the Real WorldIEEE International Conference on Robotics and Automation (ICRA), 2023 Russell Mendonca Shikhar Bahl Deepak Pathak LM&Ro 172 26 0 13 Feb 2023
Investigating the role of model-based learning in exploration and transferInternational Conference on Machine Learning (ICML), 2023 Jacob Walker Eszter Vértes Yazhe Li Gabriel Dulac-Arnold Ankesh Anand T. Weber Jessica B. Hamrick OffRL 159 8 0 08 Feb 2023
A general Markov decision process formalism for action-state entropy-regularized reward maximization D. Grytskyy Jorge Ramírez-Ruiz R. Moreno-Bote 189 3 0 02 Feb 2023
Improved Knowledge Distillation for Pre-trained Language Models via Knowledge SelectionConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Chenglong Wang Yi Lu Yongyu Mu Yimin Hu Tong Xiao Jingbo Zhu 190 12 0 01 Feb 2023
Sample Efficient Deep Reinforcement Learning via Local Planning Dong Yin S. Thiagarajan N. Lazić Nived Rajaraman Botao Hao Csaba Szepesvári 164 5 0 29 Jan 2023
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement LearningInternational Conference on Machine Learning (ICML), 2023 Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 382 13 0 26 Jan 2023
Understanding the Complexity Gains of Single-Task RL with a CurriculumInternational Conference on Machine Learning (ICML), 2022 Qiyang Li Yuexiang Zhai Yi-An Ma Sergey Levine 331 16 0 24 Dec 2022
Efficient Exploration in Resource-Restricted Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2022 Zhihai Wang Taoxing Pan Qi Zhou Jie Wang OffRL 98 13 0 14 Dec 2022
PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User EngagementKnowledge Discovery and Data Mining (KDD), 2022 Wanqi Xue Qingpeng Cai Zhenghai Xue Shuo Sun Shuchang Liu Dong Zheng Peng Jiang Kun Gai Bo An OffRL 134 38 0 06 Dec 2022
Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in Hard Exploration Problems Félix Chalumeau Thomas Pierrot Valentin Macé Arthur Flajolet Karim Beguir Antoine Cully Nicolas Perrin-Gilbert 258 9 0 24 Nov 2022