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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

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Periodic Skill Discovery Jonghae Park Daesol Cho Jusuk Lee D. Shim Inkyu Jang H. J. Kim 152 0 0 05 Nov 2025
Fill in the Blanks: Accelerating Q-Learning with a Handful of Demonstrations in Sparse Reward Settings Seyed Mahdi Basiri Azad Joschka Boedecker OffRL OnRL 233 0 0 28 Oct 2025
Count Counts: Motivating Exploration in LLM Reasoning with Count-based Intrinsic Rewards Xuan Zhang Ruixiao Li Zhijian Zhou Long Li Yulei Qin Ke Li Xing Sun Xiaoyu Tan Chao Qu Yuan Qi LRM 148 0 0 18 Oct 2025
Representation-Based Exploration for Language Models: From Test-Time to Post-Training Jens Tuyls Dylan J. Foster A. Krishnamurthy Jordan T. Ash 89 0 0 13 Oct 2025
BuilderBench -- A benchmark for generalist agents Raj Ghugare Catherine Ji Kathryn Wantlin Jin Schofield Benjamin Eysenbach 96 1 0 07 Oct 2025
Q-Learning with Shift-Aware Upper Confidence Bound in Non-Stationary Reinforcement Learning H. Bui Felix Parker Kimia Ghobadi Anqi Liu OffRL OOD 64 0 0 03 Oct 2025
Learn the Ropes, Then Trust the Wins: Self-imitation with Progressive Exploration for Agentic Reinforcement Learning Yulei Qin Xiaoyu Tan Zhengbao He Gang Li Haojia Lin ... Yuzheng Cai Xuan Zhang Sheng Ye Ke Li Xing Sun 283 0 0 26 Sep 2025
Leveraging Temporally Extended Behavior Sharing for Multi-task Reinforcement Learning Gawon Lee Daesol Cho H. J. Kim 139 0 0 25 Sep 2025
CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models Runpeng Dai Linfeng Song Haolin Liu Zhenwen Liang Dian Yu ... Zhaopeng Tu R. Liu Tong Zheng Hongtu Zhu Dong Yu LRM 124 7 0 11 Sep 2025
What Fundamental Structure in Reward Functions Enables Efficient Sparse-Reward Learning? Ibne Farabi Shihab Sanjeda Akter Anuj Sharma OffRL 91 0 0 04 Sep 2025
Uncertainty-driven Adaptive Exploration Leonidas Bakopoulos Georgios Chalkiadakis 116 0 0 03 Sep 2025
Know When to Explore: Difficulty-Aware Certainty as a Guide for LLM Reinforcement Learning Ang Li Zhihang Yuan Yang Zhang Shouda Liu Yisen Wang 100 3 0 29 Aug 2025
Value Function Initialization for Knowledge Transfer and Jump-start in Deep Reinforcement Learning Soumia Mehimeh OffRL OnRL 126 0 0 12 Aug 2025
Is Exploration or Optimization the Problem for Deep Reinforcement Learning? Glen Berseth OffRL 117 1 0 02 Aug 2025
Exploitation Is All You Need... for Exploration Micah Rentschler Jesse Roberts 64 0 0 02 Aug 2025
Data-Driven Exploration for a Class of Continuous-Time Indefinite Linear--Quadratic Reinforcement Learning Problems Yilie Huang Xun Yu Zhou OffRL 153 1 0 01 Jul 2025
Diverse Mini-Batch Selection in Reinforcement Learning for Efficient Chemical Exploration in de novo Drug Design Hampus Gummesson Svensson Ola Engkvist J. Janet C. Tyrchan M. Chehreghani OffRL 285 0 0 26 Jun 2025
Reward Models in Deep Reinforcement Learning: A SurveyInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Rui Yu Shenghua Wan Yucen Wang Chen-Xiao Gao Le Gan Zongzhang Zhang De-Chuan Zhan OffRL 130 6 0 18 Jun 2025
Uncertainty Prioritized Experience Replay Rodrigo Carrasco-Davis Sebastian Lee Claudia Clopath Will Dabney 170 1 0 10 Jun 2025
Scalable and Cost-Efficient de Novo Template-Based Molecular Generation Piotr Gaiñski Oussama Boussif Andrei Rekesh Dmytro Shevchuk Ali Parviz Mike Tyers Robert A. Batey Michał Koziarski 84 3 0 10 Jun 2025
Reinforcement Learning via Implicit Imitation Guidance Perry Dong Alec M. Lessing Annie S. Chen Chelsea Finn OffRL 119 3 0 09 Jun 2025
A Generative Physics-Informed Reinforcement Learning-Based Approach for Construction of Representative Drive Cycle Amirreza Yasami Mohammadali Tofigh Mahdi Shahbakhti Charles Robert Koch 55 0 0 09 Jun 2025
SCAR: Shapley Credit Assignment for More Efficient RLHF Meng Cao Shuyuan Zhang Xiao-Wen Chang Doina Precup 305 4 0 26 May 2025
DISCOVER: Automated Curricula for Sparse-Reward Reinforcement Learning Leander Diaz-Bone Marco Bagatella Jonas Hübotter Andreas Krause OffRL 273 4 0 26 May 2025
Counter-Inferential Behavior in Natural and Artificial Cognitive Systems Serge Dolgikh 190 0 0 19 May 2025
Exploration by Random Distribution Distillation Zhirui Fang Kai Yang Jian Tao Jiafei Lyu Lusong Li Li Shen Xiu Li 270 1 0 16 May 2025
Parameter Estimation using Reinforcement Learning Causal Curiosity: Limits and Challenges Miguel Arana-Catania Weisi Guo CML 226 0 0 13 May 2025
Credit Assignment and Efficient Exploration based on Influence Scope in Multi-agent Reinforcement Learning Shuai Han Mehdi Dastani Shihan Wang 232 0 0 13 May 2025
Enhancing Cooperative Multi-Agent Reinforcement Learning with State Modelling and Adversarial Exploration Andreas Kontogiannis Konstantinos Papathanasiou Yi Shen Giorgos Stamou Michael M. Zavlanos G. Vouros 279 0 0 08 May 2025
Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments Licheng Luo Mingyu Cai 318 3 0 09 Apr 2025
Exploration-Driven Generative Interactive EnvironmentsComputer Vision and Pattern Recognition (CVPR), 2025 N. Savov Naser Kazemi Mohammad Mahdi Danda Pani Paudel Xi Wang Luc Van Gool VGen 3DV 215 5 0 03 Apr 2025
World Model Agents with Change-Based Intrinsic Motivation Jeremias Ferrao Rafael Cunha OffRL MoE 225 1 0 26 Mar 2025
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning Yongshuai Liu Xin Liu GAN 359 2 0 24 Mar 2025
KEA: Keeping Exploration Alive by Proactively Coordinating Exploration Strategies Shih-Min Yang Martin Magnusson J. A. Stork Todor Stoyanov 233 0 0 23 Mar 2025
SENSEI: Semantic Exploration Guided by Foundation Models to Learn Versatile World Models Cansu Sancaktar Christian Gumbsch Antonios Tragoudaras Pavel Kolev Georg Martius LM&Ro VLM 647 3 0 03 Mar 2025
Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids Toru Lin Kartik Sachdev Linxi Fan Jitendra Malik Yuke Zhu 302 43 0 27 Feb 2025
Think on your feet: Seamless Transition between Human-like Locomotion in Response to Changing CommandsIEEE International Conference on Robotics and Automation (ICRA), 2025 Huaxing Huang Wenhao Cui Tonghe Zhang Shengtao Li Jinchao Han ... Chenxu Hu Ning Yan Jiahao Chen Shipu Zhang Zheyuan Jiang 261 2 0 26 Feb 2025
The impact of intrinsic rewards on exploration in Reinforcement Learning Aya Kayal Eduardo Pignatelli Laura Toni 164 5 0 20 Jan 2025
PIMAEX: Multi-Agent Exploration through Peer IncentivizationInternational Conference on Agents and Artificial Intelligence (ICAART), 2025 Michael Kolle Johannes Tochtermann Julian Schonberger Gerhard Stenzel Philipp Altmann Claudia Linnhoff-Popien 149 0 0 03 Jan 2025
$β$ -DQN: Improving Deep Q-Learning By Evolving the BehaviorAdaptive Agents and Multi-Agent Systems (AAMAS), 2025 Hongming Zhang Fengshuo Bai Chenjun Xiao Chao Gao Bo Xu Martin Müller OffRL 286 3 0 01 Jan 2025
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning ApplicationsIEEE Access (IEEE Access), 2024 Sinan Ibrahim Mostafa Mostafa Ali Jnadi Hadi Salloum Pavel Osinenko OffRL 258 46 0 31 Dec 2024
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive ExplorationAdaptive Agents and Multi-Agent Systems (AAMAS), 2024 Xingrui Yu Zhenglin Wan David Mark Bossens Yueming Lyu Qing Guo Ivor W. Tsang 988 3 0 11 Nov 2024
Deterministic Exploration via Stationary Bellman Error Maximization Sebastian Griesbach Carlo DÉramo 180 0 0 31 Oct 2024
SPIRE: Synergistic Planning, Imitation, and Reinforcement Learning for Long-Horizon ManipulationConference on Robot Learning (CoRL), 2024 Zihan Zhou Animesh Garg Dieter Fox Caelan Reed Garrett Ajay Mandlekar 297 11 0 23 Oct 2024
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson Qiyang Li Kevin Frans Sergey Levine SSL OffRL OnRL 626 4 0 23 Oct 2024
GUIDE: Real-Time Human-Shaped AgentsNeural Information Processing Systems (NeurIPS), 2024 Lingyu Zhang Zhengran Ji Nicholas R Waytowich Boyuan Chen 172 6 0 19 Oct 2024
Truncating Trajectories in Monte Carlo Policy Evaluation: an Adaptive ApproachNeural Information Processing Systems (NeurIPS), 2024 Riccardo Poiani Nicole Nobili Alberto Maria Metelli Marcello Restelli 141 2 0 17 Oct 2024
Automated Rewards via LLM-Generated Progress Functions Vishnu Sarukkai Brennan Shacklett Zander Majercik Kush S. Bhatia Christopher Ré Kayvon Fatahalian 229 3 0 11 Oct 2024
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control Ehsan Futuhi Shayan Karimi Chao Gao Martin Müller 293 4 0 07 Oct 2024
PreND: Enhancing Intrinsic Motivation in Reinforcement Learning through Pre-trained Network Distillation Mohammadamin Davoodabadi Negin Hashemi Dijujin M. Baghshah 119 0 0 02 Oct 2024

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

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