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Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces

17 October 2019

Papers citing "Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces"

23 / 23 papers shown

Title
Local Linearity: the Key for No-regret Reinforcement Learning in Continuous MDPs Davide Maran Alberto Maria Metelli Matteo Papini Marcello Restelli 91 0 0 31 Oct 2024
Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces Avik Kar Rahul Singh 72 0 0 25 Oct 2024
Abstract Reward Processes: Leveraging State Abstraction for Consistent Off-Policy Evaluation Shreyas Chaudhari Ameet Deshpande Bruno Castro da Silva Philip S. Thomas OffRL 61 1 0 03 Oct 2024
Projection by Convolution: Optimal Sample Complexity for Reinforcement Learning in Continuous-Space MDPs Davide Maran Alberto Maria Metelli Matteo Papini Marcello Restelli 60 3 0 10 May 2024
No-Regret Reinforcement Learning in Smooth MDPs Davide Maran Alberto Maria Metelli Matteo Papini Marcello Restell 62 4 0 06 Feb 2024
Minimax Optimal Q Learning with Nearest Neighbors Puning Zhao Lifeng Lai OffRL 96 11 0 03 Aug 2023
Multi-agent Exploration with Sub-state Entropy Estimation Jian Tao Yang Zhang Yang Chen Xiu Li 54 1 0 10 Jun 2023
Managing Temporal Resolution in Continuous Value Estimation: A Fundamental Trade-off Zichen Zhang Johannes Kirschner Junxi Zhang Francesco Zanini Alex Ayoub Masood Dehghan Dale Schuurmans OffRL 82 3 0 17 Dec 2022
Hindsight Learning for MDPs with Exogenous Inputs Sean R. Sinclair Felipe Vieira Frujeri Ching-An Cheng Luke Marshall Hugo Barbalho Jingling Li Jennifer Neville Ishai Menache Adith Swaminathan 69 23 0 13 Jul 2022
Approximate Policy Iteration with Bisimulation Metrics Mete Kemertas Allan D. Jepson 87 8 0 06 Feb 2022
Adaptive Discretization in Online Reinforcement Learning Sean R. Sinclair Siddhartha Banerjee Chao Yu OffRL 87 17 0 29 Oct 2021
An Adaptive State Aggregation Algorithm for Markov Decision Processes Guanting Chen Johann D. Gaebler M. Peng Chunlin Sun Yinyu Ye 64 6 0 23 Jul 2021
Metrics and continuity in reinforcement learning Charline Le Lan Marc G. Bellemare Pablo Samuel Castro 72 35 0 02 Feb 2021
Control with adaptive Q-learning J. Araújo Mário A. T. Figueiredo M. Botto 92 2 0 03 Nov 2020
Efficient Learning in Non-Stationary Linear Markov Decision Processes Ahmed Touati Pascal Vincent 108 29 0 24 Oct 2020
Single-partition adaptive Q-learning J. Araújo Mário A. T. Figueiredo M. Botto OffRL 65 2 0 14 Jul 2020
A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces O. D. Domingues Pierre Ménard Matteo Pirotta E. Kaufmann Michal Valko 80 40 0 09 Jul 2020
Adaptive Discretization for Model-Based Reinforcement Learning Sean R. Sinclair Tianyu Wang Gauri Jain Siddhartha Banerjee Chao Yu OffRL 74 21 0 01 Jul 2020
Environment Shaping in Reinforcement Learning using State Abstraction Parameswaran Kamalaruban R. Devidze Volkan Cevher Adish Singla OffRL 51 4 0 23 Jun 2020
Provably adaptive reinforcement learning in metric spaces Tongyi Cao A. Krishnamurthy 91 7 0 18 Jun 2020
Kernel-Based Reinforcement Learning: A Finite-Time Analysis O. D. Domingues Pierre Ménard Matteo Pirotta E. Kaufmann Michal Valko 78 18 0 12 Apr 2020
Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces Ahmed Touati Adrien Ali Taïga Marc G. Bellemare 71 19 0 09 Mar 2020
Language is Power: Representing States Using Natural Language in Reinforcement Learning Erez Schwartz Guy Tennenholtz Chen Tessler Shie Mannor 117 13 0 02 Oct 2019