ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1910.08151
  4. Cited By
Adaptive Discretization for Episodic Reinforcement Learning in Metric
  Spaces
v1v2 (latest)

Adaptive Discretization for Episodic Reinforcement Learning in Metric Spaces

17 October 2019
Sean R. Sinclair
Siddhartha Banerjee
Chao Yu
    OffRL
ArXiv (abs)PDFHTML

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

14 / 14 papers shown
Title
Managing Temporal Resolution in Continuous Value Estimation: A
  Fundamental Trade-off
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
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
Approximate Policy Iteration with Bisimulation Metrics
Mete Kemertas
Allan D. Jepson
87
8
0
06 Feb 2022
Adaptive Discretization in Online Reinforcement Learning
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
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
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
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
Efficient Learning in Non-Stationary Linear Markov Decision Processes
Ahmed Touati
Pascal Vincent
108
29
0
24 Oct 2020
Single-partition adaptive Q-learning
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
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
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
Provably adaptive reinforcement learning in metric spaces
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
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
Zooming for Efficient Model-Free Reinforcement Learning in Metric Spaces
Ahmed Touati
Adrien Ali Taïga
Marc G. Bellemare
71
19
0
09 Mar 2020
1