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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
Quasimetric Value Functions with Dense Rewards Khadichabonu Valieva Bikramjit Banerjee OffRL 204 3 0 13 Sep 2024
Directed Exploration in Reinforcement Learning from Linear Temporal Logic Marco Bagatella Andreas Krause Georg Martius OffRL 235 3 0 18 Aug 2024
A Single Goal is All You Need: Skills and Exploration Emerge from Contrastive RL without Rewards, Demonstrations, or SubgoalsInternational Conference on Learning Representations (ICLR), 2024 Grace Liu Michael Tang Benjamin Eysenbach OffRL 347 8 0 11 Aug 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2024 Haozhe Ma Zhengding Luo Thanh Vinh Vo Kuankuan Sima Tze-Yun Leong 545 17 0 06 Aug 2024
Image-Based Deep Reinforcement Learning with Intrinsically Motivated Stimuli: On the Execution of Complex Robotic Tasks David Valencia Henry Williams Yuning Xing Trevor Gee Minas V. Liarokapis Bruce A. MacDonald 127 4 0 31 Jul 2024
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge Yupei Yang Erdun Gao Shikui Tu Lei Xu CML 171 2 0 30 Jul 2024
Sparsity-based Safety Conservatism for Constrained Offline Reinforcement Learning Minjae Cho Chuangchuang Sun OffRL 217 0 0 17 Jul 2024
Variable-Agnostic Causal Exploration for Reinforcement Learning Minh Hoang Nguyen Hung Le Svetha Venkatesh CML 175 3 0 17 Jul 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult? Alexander David Goldie Chris Xiaoxuan Lu Matthew Jackson Shimon Whiteson Jakob N. Foerster 424 11 0 09 Jul 2024
Preference-Guided Reinforcement Learning for Efficient Exploration Guojian Wang Faguo Wu Xinyuan Li Tianyuan Chen Xiao Zhang Tianyuan Chen Xuyang Chen 189 0 0 09 Jul 2024
PUZZLES: A Benchmark for Neural Algorithmic Reasoning Benjamin Estermann Luca A. Lanzendörfer Yannick Niedermayr Roger Wattenhofer 291 10 0 29 Jun 2024
Safety through feedback in Constrained RL Shashank Reddy Chirra Pradeep Varakantham P. Paruchuri OffRL 319 2 0 28 Jun 2024
Beyond Optimism: Exploration With Partially Observable Rewards Simone Parisi Alireza Kazemipour Michael Bowling OffRL 161 6 0 20 Jun 2024
WoCoCo: Learning Whole-Body Humanoid Control with Sequential ContactsConference on Robot Learning (CoRL), 2024 Chong Zhang Wenli Xiao Tairan He Guanya Shi 287 76 0 10 Jun 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning Hyungho Na IL-Chul Moon 155 4 0 30 May 2024
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning Mingqi Yuan Roger Creus Castanyer Bo Li Xin Jin Glen Berseth Wenjun Zeng 372 5 0 29 May 2024
Exclusively Penalized Q-learning for Offline Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2024 Junghyuk Yeom Yonghyeon Jo Jungmo Kim Sanghyeon Lee Seungyul Han OffRL 245 3 0 23 May 2024
Enhancing Q-Learning with Large Language Model Heuristics Xiefeng Wu LRM 231 1 0 06 May 2024
Generative Active Learning for the Search of Small-molecule Protein Binders Maksym Korablyov Cheng-Hao Liu Moksh Jain A. V. D. Sloot Eric Jolicoeur ... Marwin H. S. Segler Michael M. Bronstein A. Marinier Mike Tyers Yoshua Bengio 154 8 0 02 May 2024
MESA: Cooperative Meta-Exploration in Multi-Agent Learning through Exploiting State-Action Space Structure Zhicheng Zhang Yancheng Liang Yi Wu Fei Fang 168 2 0 01 May 2024
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 165 0 0 19 Apr 2024
Grid-Mapping Pseudo-Count Constraint for Offline Reinforcement Learning Yi Shen Hanyan Huang Shan Xie 178 0 0 03 Apr 2024
VDSC: Enhancing Exploration Timing with Value Discrepancy and State Counts Marius Captari Remo Sasso M. Sabatelli 67 0 0 26 Mar 2024
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning Hyungho Na Yunkyeong Seo IL-Chul Moon 214 10 0 02 Mar 2024
ACE : Off-Policy Actor-Critic with Causality-Aware Entropy Regularization Tianying Ji Yongyuan Liang Yan Zeng Yu-Juan Luo Guowei Xu Jiawei Guo Ruijie Zheng Furong Huang Gang Hua Huazhe Xu CML 251 16 0 22 Feb 2024
Decentralized Lifelong Path Planning for Multiple Ackerman Car-Like Robots Teng Guo Jingjin Yu 189 3 0 19 Feb 2024
Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained RepresentationsInternational Conference on Machine Learning (ICML), 2024 Stefan Sylvius Wagner Stefan Harmeling 138 3 0 05 Feb 2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing Haobin Jiang Haobin Jiang Zongqing Lu 189 8 0 03 Feb 2024
To the Max: Reinventing Reward in Reinforcement Learning Grigorii Veviurko Wendelin Bohmer Mathijs de Weerdt 162 9 0 02 Feb 2024
Scheduled Curiosity-Deep Dyna-Q: Efficient Exploration for Dialog Policy Learning Xuecheng Niu Akinori Ito Takashi Nose 192 3 0 31 Jan 2024
DittoGym: Learning to Control Soft Shape-Shifting RobotsInternational Conference on Learning Representations (ICLR), 2024 Suning Huang Boyuan Chen Huazhe Xu Vincent Sitzmann 241 8 0 24 Jan 2024
Exploration and Anti-Exploration with Distributional Random Network Distillation Kai Yang Jian Tao Jiafei Lyu Xiu Li 350 27 0 18 Jan 2024
Beyond Sparse Rewards: Enhancing Reinforcement Learning with Language Model Critique in Text Generation Meng Cao Lei Shu Lei Yu Yun Zhu Nevan Wichers Yinxiao Liu Lei Meng OffRL ALM 236 15 0 14 Jan 2024
Pangu-Agent: A Fine-Tunable Generalist Agent with Structured Reasoning Filippos Christianos Georgios Papoudakis Matthieu Zimmer Thomas Coste Zhihao Wu ... Yicheng Luo Jianye Hao Youssef Attia El Hili Haitham Bou-Ammar Jun Wang 177 26 0 22 Dec 2023
Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization Takuya Hiraoka OffRL 217 1 0 10 Dec 2023
Regularity as Intrinsic Reward for Free PlayNeural Information Processing Systems (NeurIPS), 2023 Cansu Sancaktar J. Piater Georg Martius 176 7 0 03 Dec 2023
On-Policy Policy Gradient Reinforcement Learning Without On-Policy Sampling Nicholas Corrado Josiah P. Hanna OffRL 121 5 0 14 Nov 2023
General Policies, Subgoal Structure, and Planning WidthJournal of Artificial Intelligence Research (JAIR), 2023 Blai Bonet Hector Geffner 111 4 0 09 Nov 2023
Accelerating Exploration with Unlabeled Prior Data Qiyang Li Jason Zhang Dibya Ghosh Amy Zhang Sergey Levine OffRL OnRL 279 15 0 09 Nov 2023
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio MinimizationInternational Conference on Learning Representations (ICLR), 2023 Guowei Xu Ruijie Zheng Yongyuan Liang Xiyao Wang Zhecheng Yuan ... Shuzhen Li Yanjie Ze Hal Daumé Furong Huang Huazhe Xu 226 41 0 30 Oct 2023
Improving Intrinsic Exploration by Creating Stationary ObjectivesInternational Conference on Learning Representations (ICLR), 2023 Roger Creus Castanyer Javier Civera Taihú Pire OffRL 335 4 0 27 Oct 2023
Understanding when Dynamics-Invariant Data Augmentations Benefit Model-Free Reinforcement Learning UpdatesInternational Conference on Learning Representations (ICLR), 2023 Nicholas Corrado Josiah P. Hanna 227 6 0 26 Oct 2023
Neuro-Inspired Fragmentation and Recall to Overcome Catastrophic Forgetting in Curiosity Jaedong Hwang Zhang-Wei Hong Eric Chen Akhilan Boopathy Pulkit Agrawal Ila Fiete CLL 143 5 0 26 Oct 2023
Reward Shaping for Happier Autonomous Cyber Security Agents Elizabeth Bates V. Mavroudis Chris Hicks 166 19 0 20 Oct 2023
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes Ruiquan Huang Yuan Cheng Jing Yang Vincent Tan Yingbin Liang 155 0 0 20 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware AbstractionInternational Conference on Learning Representations (ICLR), 2023 Seohong Park Oleh Rybkin Sergey Levine OffRL 328 63 0 13 Oct 2023
ELDEN: Exploration via Local DependenciesNeural Information Processing Systems (NeurIPS), 2023 Jiaheng Hu Zizhao Wang Peter Stone Roberto Martin-Martin 187 11 0 12 Oct 2023
Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias Max Sobol Mark Archit Sharma Fahim Tajwar Rafael Rafailov Sergey Levine Chelsea Finn OffRL OnRL 258 4 0 12 Oct 2023
Generative Intrinsic Optimization: Intrinsic Control with Model Learning Jianfei Ma 210 0 0 12 Oct 2023
Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey Gregory Palmer Chris Parry Daniel J.B. Harrold Chris Willis AI4CE 224 1 0 11 Oct 2023