Fast active learning for pure exploration in reinforcement learning

27 July 2020

Pierre Ménard

Anders Jonsson

Papers citing "Fast active learning for pure exploration in reinforcement learning"

27 / 27 papers shown

Title
Cascading Reinforcement Learning Yihan Du R. Srikant Wei Chen 19 0 0 17 Jan 2024
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 51 1 0 16 Oct 2023
When is Agnostic Reinforcement Learning Statistically Tractable? Zeyu Jia Gene Li Alexander Rakhlin Ayush Sekhari Nathan Srebro OffRL 32 5 0 09 Oct 2023
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data Ruiqi Zhang Andrea Zanette OffRL OnRL 42 7 0 10 Jul 2023
Active Sensing with Predictive Coding and Uncertainty Minimization A. Sharafeldin N. Imam Hannah Choi 22 3 0 02 Jul 2023
Towards Theoretical Understanding of Inverse Reinforcement Learning Alberto Maria Metelli Filippo Lazzati Marcello Restelli 29 13 0 25 Apr 2023
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs Yuan Cheng Ruiquan Huang J. Yang Yitao Liang OffRL 41 8 0 20 Mar 2023
Active learning for data streams: a survey Davide Cacciarelli M. Kulahci 30 40 0 17 Feb 2023
Concentration Bounds for Discrete Distribution Estimation in KL Divergence C. Canonne Ziteng Sun A. Suresh 81 4 0 14 Feb 2023
Layered State Discovery for Incremental Autonomous Exploration Liyu Chen Andrea Tirinzoni A. Lazaric Matteo Pirotta 34 0 0 07 Feb 2023
Cell-Free Latent Go-Explore Quentin Gallouedec Emmanuel Dellandrea 19 1 0 31 Aug 2022
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL Jinglin Chen Aditya Modi A. Krishnamurthy Nan Jiang Alekh Agarwal 38 25 0 21 Jun 2022
BYOL-Explore: Exploration by Bootstrapped Prediction Z. Guo S. Thakoor Miruna Pislar Bernardo Avila-Pires Florent Altché ... Yunhao Tang Michal Valko Rémi Munos M. G. Azar Bilal Piot 22 68 0 16 Jun 2022
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path Yihan Du Siwei Wang Longbo Huang OOD 24 13 0 06 Jun 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 28 324 0 02 May 2022
Branching Reinforcement Learning Yihan Du Wei Chen 27 0 0 16 Feb 2022
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization Mirco Mutti Ric De Santi Emanuele Rossi J. Calderón Michael M. Bronstein Marcello Restelli 30 14 0 14 Feb 2022
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost Dan Qiao Ming Yin Ming Min Yu Wang 43 28 0 13 Feb 2022
Gap-Dependent Unsupervised Exploration for Reinforcement Learning Jingfeng Wu Vladimir Braverman Lin F. Yang 33 12 0 11 Aug 2021
Navigating to the Best Policy in Markov Decision Processes Aymen Al Marjani Aurélien Garivier Alexandre Proutiere 35 21 0 05 Jun 2021
Optimal Uniform OPE and Model-based Offline Reinforcement Learning in Time-Homogeneous, Reward-Free and Task-Agnostic Settings Ming Yin Yu Wang OffRL 32 19 0 13 May 2021
UCB Momentum Q-learning: Correcting the bias without forgetting Pierre Menard O. D. Domingues Xuedong Shang Michal Valko 79 41 0 01 Mar 2021
Improved Corruption Robust Algorithms for Episodic Reinforcement Learning Yifang Chen S. Du Kevin G. Jamieson 24 22 0 13 Feb 2021
Task-Optimal Exploration in Linear Dynamical Systems Andrew Wagenmaker Max Simchowitz Kevin G. Jamieson 27 18 0 10 Feb 2021
Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration Andrea Zanette A. Lazaric Mykel J. Kochenderfer Emma Brunskill 36 64 0 18 Aug 2020
A Provably Efficient Sample Collection Strategy for Reinforcement Learning Jean Tarbouriech Matteo Pirotta Michal Valko A. Lazaric OffRL 25 16 0 13 Jul 2020
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 112 194 0 07 Feb 2020