#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"

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Title
Credit Assignment and Efficient Exploration based on Influence Scope in Multi-agent Reinforcement Learning Shuai Han Mehdi Dastani Shihan Wang 29 0 0 13 May 2025
Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered Environments Licheng Luo Mingyu Cai 38 0 0 09 Apr 2025
World Model Agents with Change-Based Intrinsic Motivation Jeremias Ferrao Rafael Cunha OffRL MoE 52 0 0 26 Mar 2025
Adventurer: Exploration with BiGAN for Deep Reinforcement Learning Yongshuai Liu Xin Liu GAN 103 2 0 24 Mar 2025
Comprehensive Overview of Reward Engineering and Shaping in Advancing Reinforcement Learning Applications Sinan Ibrahim Mostafa Mostafa Ali Jnadi Hadi Salloum Pavel Osinenko OffRL 49 12 0 31 Dec 2024
Imitation from Diverse Behaviors: Wasserstein Quality Diversity Imitation Learning with Single-Step Archive Exploration Xingrui Yu Zhenglin Wan David Mark Bossens Yueming Lyu Qing-Wu Guo Ivor W. Tsang 139 0 0 11 Nov 2024
Leveraging Skills from Unlabeled Prior Data for Efficient Online Exploration Max Wilcoxson Qiyang Li Kevin Frans Sergey Levine SSL OffRL OnRL 57 0 0 23 Oct 2024
ETGL-DDPG: A Deep Deterministic Policy Gradient Algorithm for Sparse Reward Continuous Control Ehsan Futuhi Shayan Karimi Chao Gao Martin Müller 38 1 0 07 Oct 2024
Quasimetric Value Functions with Dense Rewards Khadichabonu Valieva Bikramjit Banerjee OffRL 30 0 0 13 Sep 2024
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning Haozhe Ma Zhengding Luo Thanh Vinh Vo Kuankuan Sima Tze-Yun Leong 29 5 0 06 Aug 2024
Preference-Guided Reinforcement Learning for Efficient Exploration Guojian Wang Faguo Wu Xiao Zhang Tianyuan Chen Xuyang Chen Lin Zhao 40 0 0 09 Jul 2024
Can Learned Optimization Make Reinforcement Learning Less Difficult? Alexander David Goldie Chris Xiaoxuan Lu Matthew Jackson Shimon Whiteson Jakob N. Foerster 42 3 0 09 Jul 2024
Safety through feedback in Constrained RL Shashank Reddy Chirra Pradeep Varakantham P. Paruchuri OffRL 48 1 0 28 Jun 2024
LAGMA: LAtent Goal-guided Multi-Agent Reinforcement Learning Hyungho Na IL-Chul Moon 43 1 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 40 0 0 29 May 2024
Exclusively Penalized Q-learning for Offline Reinforcement Learning Junghyuk Yeom Yonghyeon Jo Jungmo Kim Sanghyeon Lee Seungyul Han OffRL 40 2 0 23 May 2024
Enhancing Q-Learning with Large Language Model Heuristics Xiefeng Wu LRM 32 0 0 06 May 2024
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning Lisheng Wu Ke Chen 26 0 0 19 Apr 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 48 11 0 22 Feb 2024
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing Haobin Jiang Ziluo Ding Zongqing Lu 24 2 0 03 Feb 2024
DittoGym: Learning to Control Soft Shape-Shifting Robots Suning Huang Boyuan Chen Huazhe Xu Vincent Sitzmann 42 3 0 24 Jan 2024
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 35 5 0 26 Oct 2023
Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes Ruiquan Huang Yuan Cheng Jing Yang Vincent Tan Yingbin Liang 30 0 0 20 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction Seohong Park Oleh Rybkin Sergey Levine OffRL 33 34 0 13 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 28 1 0 12 Oct 2023
FoX: Formation-aware exploration in multi-agent reinforcement learning Yonghyeon Jo Sunwoo Lee Junghyuk Yum Seungyul Han 32 5 0 22 Aug 2023
Controlling Character Motions without Observable Driving Source Weiyuan Li Bin Dai Ziyi Zhou Qi Yao Baoyuan Wang VGen 8 1 0 11 Aug 2023
Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo Haque Ishfaq Qingfeng Lan Pan Xu A. R. Mahmood Doina Precup Anima Anandkumar Kamyar Azizzadenesheli BDL OffRL 28 20 0 29 May 2023
Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse Jiafei Lyu Le Wan Zongqing Lu Xiu Li OffRL 28 9 0 29 May 2023
MIMEx: Intrinsic Rewards from Masked Input Modeling Toru Lin Allan Jabri OffRL 23 6 0 15 May 2023
Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward Zihan Zhou Animesh Garg OffRL 16 3 0 30 Apr 2023
Aiding reinforcement learning for set point control Ruoqing Zhang Per Mattsson T. Wigren 11 3 0 20 Apr 2023
Affordances from Human Videos as a Versatile Representation for Robotics Shikhar Bahl Russell Mendonca Lili Chen Unnat Jain Deepak Pathak 41 161 0 17 Apr 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
Failure-aware Policy Learning for Self-assessable Robotics Tasks Kechun Xu Runjian Chen Shuqing Zhao Zizhang Li Hongxiang Yu Ci Chen Yue Wang R. Xiong 20 1 0 25 Feb 2023
Self-supervised network distillation: an effective approach to exploration in sparse reward environments Matej Pecháč M. Chovanec Igor Farkaš 29 3 0 22 Feb 2023
ALAN: Autonomously Exploring Robotic Agents in the Real World Russell Mendonca Shikhar Bahl Deepak Pathak LM&Ro 30 20 0 13 Feb 2023
Investigating the role of model-based learning in exploration and transfer Jacob Walker Eszter Vértes Yazhe Li Gabriel Dulac-Arnold Ankesh Anand T. Weber Jessica B. Hamrick OffRL 36 7 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 22 3 0 02 Feb 2023
Improved Knowledge Distillation for Pre-trained Language Models via Knowledge Selection Chenglong Wang Yi Lu Yongyu Mu Yimin Hu Tong Xiao Jingbo Zhu 32 8 0 01 Feb 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
Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning Mingqi Yuan Bo Li Xin Jin Wenjun Zeng OffRL 24 8 0 26 Jan 2023
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments Daniel Jarrett Corentin Tallec Florent Altché Thomas Mesnard Rémi Munos Michal Valko 42 5 0 18 Nov 2022
Foundation Models for Semantic Novelty in Reinforcement Learning Tarun Gupta Peter Karkus Tong Che Danfei Xu Marco Pavone VLM OffRL LRM 39 7 0 09 Nov 2022
The Pump Scheduling Problem: A Real-World Scenario for Reinforcement Learning Henrique Donancio L. Vercouter H. Roclawski AI4CE 18 1 0 20 Oct 2022
Symbol Guided Hindsight Priors for Reward Learning from Human Preferences Mudit Verma Katherine Metcalf 29 8 0 17 Oct 2022
Exploration via Elliptical Episodic Bonuses Mikael Henaff Roberta Raileanu Minqi Jiang Tim Rocktaschel OffRL 29 39 0 11 Oct 2022
Reward-Mixing MDPs with a Few Latent Contexts are Learnable Jeongyeol Kwon Yonathan Efroni C. Caramanis Shie Mannor 29 5 0 05 Oct 2022
Query The Agent: Improving sample efficiency through epistemic uncertainty estimation Julian Alverio Boris Katz Andrei Barbu 32 0 0 05 Oct 2022
Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States C. Banerjee Zhiyong Chen N. Noman 20 3 0 01 Oct 2022