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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 / 467 papers shown

Title
Curious Representation Learning for Embodied IntelligenceIEEE International Conference on Computer Vision (ICCV), 2021 Yilun Du Chuang Gan Phillip Isola SSL LM&Ro 326 46 0 03 May 2021
SocialAI 0.1: Towards a Benchmark to Stimulate Research on Socio-Cognitive Abilities in Deep Reinforcement Learning Agents Grgur Kovač Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer ALM LM&Ro 203 2 0 27 Apr 2021
Ask & Explore: Grounded Question Answering for Curiosity-Driven Exploration Jivat Neet Kaur Yiding Jiang Paul Pu Liang LRM 88 2 0 24 Apr 2021
Curiosity-Driven Exploration via Latent Bayesian SurpriseAAAI Conference on Artificial Intelligence (AAAI), 2021 Pietro Mazzaglia Ozan Çatal Tim Verbelen Bart Dhoedt 216 41 0 15 Apr 2021
Rule-Based Reinforcement Learning for Efficient Robot Navigation with Space ReductionIEEE/ASME transactions on mechatronics (IEEE/ASME Trans. Mechatronics), 2021 Yuanyang Zhu Zhi Wang Chunlin Chen D. Dong 142 43 0 15 Apr 2021
Behavior-Guided Actor-Critic: Improving Exploration via Learning Policy Behavior Representation for Deep Reinforcement Learning Ammar Fayad M. Ibrahim BDL 132 3 0 09 Apr 2021
Bayesian Distributional Policy GradientsAAAI Conference on Artificial Intelligence (AAAI), 2021 Luchen Li A. Faisal BDL OffRL 174 11 0 20 Mar 2021
Sample-efficient Reinforcement Learning Representation Learning with Curiosity Contrastive Forward Dynamics ModelIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 Thanh Nguyen Tung M. Luu Thang Vu Chang D. Yoo 116 19 0 15 Mar 2021
Discovering Diverse Multi-Agent Strategic Behavior via Reward RandomizationInternational Conference on Learning Representations (ICLR), 2021 Zhen-Yu Tang Chao Yu Boyuan Chen Huazhe Xu Xiaolong Wang Fei Fang S. Du Yu Wang Yi Wu 201 61 0 08 Mar 2021
Reinforcement Learning, Bit by Bit Xiuyuan Lu Benjamin Van Roy Vikranth Dwaracherla M. Ibrahimi Ian Osband Zheng Wen 448 76 0 06 Mar 2021
Reinforcement Learning for Adaptive Mesh RefinementInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Jiachen Yang T. Dzanic Brenden K. Petersen Junpei Kudo K. Mittal ... T. Zhao H. Zha T. Kolev Robert W. Anderson Daniel Faissol AI4CE 135 57 0 01 Mar 2021
A Probabilistic Interpretation of Self-Paced Learning with Applications to Reinforcement LearningJournal of machine learning research (JMLR), 2021 Pascal Klink Hany Abdulsamad Boris Belousov Carlo DÉramo Jan Peters Joni Pajarinen 208 29 0 25 Feb 2021
No-Regret Reinforcement Learning with Heavy-Tailed RewardsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 Vincent Zhuang Yanan Sui 822 12 0 25 Feb 2021
State Entropy Maximization with Random Encoders for Efficient ExplorationInternational Conference on Machine Learning (ICML), 2021 Younggyo Seo Lili Chen Jinwoo Shin Honglak Lee Pieter Abbeel Kimin Lee 223 146 0 18 Feb 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 565 108 0 16 Feb 2021
Policy Augmentation: An Exploration Strategy for Faster Convergence of Deep Reinforcement Learning AlgorithmsIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021 A. Mahyari 90 1 0 10 Feb 2021
Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2021 Xiaoteng Ma Yiqin Yang Chenghao Li Yiwen Lu Qianchuan Zhao Yang Jun 163 15 0 10 Feb 2021
Sparse Reward Exploration via Novelty Search and EmittersAnnual Conference on Genetic and Evolutionary Computation (GECCO), 2021 Giuseppe Paolo Alexandre Coninx Stéphane Doncieux Alban Laflaquière 204 19 0 05 Feb 2021
Decoupled Exploration and Exploitation Policies for Sample-Efficient Reinforcement Learning William F. Whitney Michael Bloesch Jost Tobias Springenberg A. Abdolmaleki Dong Wang Martin Riedmiller OffRL 180 17 0 23 Jan 2021
Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated EnvironmentsInternational Conference on Learning Representations (ICLR), 2021 Daochen Zha Wenye Ma Lei Yuan Helen Zhou Ji Liu 184 47 0 20 Jan 2021
MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal ControlIEEE Transactions on Knowledge and Data Engineering (TKDE), 2021 Liwen Zhu Peixi Peng Zongqing Lu Xiangqian Wang Yonghong Tian 369 25 0 04 Jan 2021
Improved Sample Complexity for Incremental Autonomous Exploration in MDPsNeural Information Processing Systems (NeurIPS), 2020 Jean Tarbouriech Matteo Pirotta Michal Valko A. Lazaric 163 13 0 29 Dec 2020
Self-Imitation Advantage LearningAdaptive Agents and Multi-Agent Systems (AAMAS), 2020 Johan Ferret Olivier Pietquin Matthieu Geist 243 21 0 22 Dec 2020
Curiosity in exploring chemical space: Intrinsic rewards for deep molecular reinforcement learning Luca Thiede Mario Krenn AkshatKumar Nigam Alán Aspuru-Guzik 204 33 0 17 Dec 2020
Policy Manifold Search for Improving Diversity-based Neuroevolution Nemanja Rakićević Antoine Cully Petar Kormushev 107 0 0 15 Dec 2020
General Policies, Serializations, and Planning Width Blai Bonet Hector Geffner 152 3 0 15 Dec 2020
Model-based Reinforcement Learning for Continuous Control with Posterior SamplingInternational Conference on Machine Learning (ICML), 2020 Ying Fan Yifei Ming 291 21 0 20 Nov 2020
Revisiting Rainbow: Promoting more Insightful and Inclusive Deep Reinforcement Learning ResearchInternational Conference on Machine Learning (ICML), 2020 J. Obando-Ceron Pablo Samuel Castro OffRL 260 118 0 20 Nov 2020
Leveraging the Variance of Return Sequences for Exploration Policy Zerong Xi G. Sukthankar 114 0 0 17 Nov 2020
ACDER: Augmented Curiosity-Driven Experience ReplayIEEE International Conference on Robotics and Automation (ICRA), 2020 Boyao Li Tao Lu Jiayi Li N. Lu Yinghao Cai Shuo Wang 130 20 0 16 Nov 2020
Ridge Rider: Finding Diverse Solutions by Following Eigenvectors of the HessianNeural Information Processing Systems (NeurIPS), 2020 Jack Parker-Holder Luke Metz Cinjon Resnick Hengyuan Hu Adam Lerer Alistair Letcher A. Peysakhovich Aldo Pacchiano Jakob N. Foerster 165 25 0 12 Nov 2020
Perturbation-based exploration methods in deep reinforcement learning Sneha Aenugu 84 0 0 10 Nov 2020
Continual Learning of Control Primitives: Skill Discovery via Reset-Games Kelvin Xu Siddharth Verma Chelsea Finn Sergey Levine CLL 193 34 0 10 Nov 2020
How do Offline Measures for Exploration in Reinforcement Learning behave? Jakob J. Hollenstein Sayantan Auddy Matteo Saveriano Erwan Renaudo J. Piater OffRL 92 2 0 29 Oct 2020
TAMPC: A Controller for Escaping Traps in Novel EnvironmentsIEEE Robotics and Automation Letters (RA-L), 2020 Sheng Zhong Zhenyuan Zhang Nima Fazeli Dmitry Berenson 210 8 0 23 Oct 2020
Batch Exploration with Examples for Scalable Robotic Reinforcement Learning Annie S. Chen H. Nam Suraj Nair Chelsea Finn OffRL 150 27 0 22 Oct 2020
Optimising Stochastic Routing for Taxi Fleets with Model Enhanced Reinforcement Learning Shen Ren Qianxiao Li Liye Zhang Zheng Qin Bo Yang 46 0 0 22 Oct 2020
An Empowerment-based Solution to Robotic Manipulation Tasks with Sparse Rewards Siyu Dai Wenyuan Xu Andreas G. Hofmann B. Williams 201 11 0 15 Oct 2020
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning Tarun Gupta Anuj Mahajan Bei Peng Wendelin Bohmer Shimon Whiteson OffRL 249 58 0 06 Oct 2020
Latent World Models For Intrinsically Motivated ExplorationNeural Information Processing Systems (NeurIPS), 2020 Aleksandr Ermolov Andrii Zadaianchuk 310 24 0 05 Oct 2020
Exploration in Approximate Hyper-State Space for Meta Reinforcement LearningInternational Conference on Machine Learning (ICML), 2020 L. Zintgraf Leo Feng Cong Lu Maximilian Igl Kristian Hartikainen Katja Hofmann Shimon Whiteson 349 43 0 02 Oct 2020
Reannealing of Decaying Exploration Based On Heuristic Measure in Deep Q-Network Xing Wang A. Vinel 108 0 0 29 Sep 2020
Novelty Search in Representational Space for Sample Efficient Exploration Ruo Yu Tao Vincent François-Lavet Joelle Pineau 235 48 0 28 Sep 2020
SEMI: Self-supervised Exploration via Multisensory IncongruityIEEE International Conference on Robotics and Automation (ICRA), 2020 Jianren Wang Ziwen Zhuang Hang Zhao SSL 151 1 0 26 Sep 2020
Revisiting Design Choices in Proximal Policy Optimization Chloe Ching-Yun Hsu Celestine Mendler-Dünner Moritz Hardt 249 60 0 23 Sep 2020
Evolutionary Reinforcement Learning via Cooperative Coevolutionary Negatively Correlated SearchSwarm and Evolutionary Computation (Swarm Evol. Comput.), 2020 Hu Zhang Peng Yang Yang Yu Mingjiang Li Shengcai Liu 204 23 0 08 Sep 2020
REMAX: Relational Representation for Multi-Agent ExplorationAdaptive Agents and Multi-Agent Systems (AAMAS), 2020 Heechang Ryu Hayong Shin Jinkyoo Park 167 4 0 12 Aug 2020
GRIMGEP: Learning Progress for Robust Goal Sampling in Visual Deep Reinforcement LearningIEEE Transactions on Cognitive and Developmental Systems (TCDS), 2020 Grgur Kovač A. Laversanne-Finot Pierre-Yves Oudeyer 226 12 0 10 Aug 2020
Noisy Agents: Self-supervised Exploration by Predicting Auditory EventsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020 Chuang Gan Xiaoyu Chen Phillip Isola Antonio Torralba J. Tenenbaum 136 7 0 27 Jul 2020
Explore and Explain: Self-supervised Navigation and RecountingInternational Conference on Pattern Recognition (ICPR), 2020 Roberto Bigazzi Federico Landi Marcella Cornia S. Cascianelli Lorenzo Baraldi Rita Cucchiara EgoV LM&Ro 162 18 0 14 Jul 2020