Adaptive Discretization in Online Reinforcement Learning

Adaptive Discretization in Online Reinforcement Learning

29 October 2021

Sean R. Sinclair

Siddhartha Banerjee

Papers citing "Adaptive Discretization in Online Reinforcement Learning"

11 / 11 papers shown

Title
Provably Adaptive Average Reward Reinforcement Learning for Metric Spaces Avik Kar Rahul Singh 21 0 0 25 Oct 2024
Reinforcement Learning for Intensity Control: An Application to Choice-Based Network Revenue Management Huiling Meng Ningyuan Chen Xuefeng Gao 47 1 0 08 Jun 2024
How to discretize continuous state-action spaces in Q-learning: A symbolic control approach S. B. Alaoui Adnane Saoud OffRL 26 0 0 03 Jun 2024
Low-Rank MDPs with Continuous Action Spaces Andrew Bennett Nathan Kallus M. Oprescu 25 2 0 06 Nov 2023
Minimax Optimal Q Learning with Nearest Neighbors Puning Zhao Lifeng Lai OffRL 38 9 0 03 Aug 2023
Quantile-Based Deep Reinforcement Learning using Two-Timescale Policy Gradient Algorithms Jinyang Jiang Jiaqiao Hu Yijie Peng 16 2 0 12 May 2023
Artificial Replay: A Meta-Algorithm for Harnessing Historical Data in Bandits Siddhartha Banerjee Sean R. Sinclair Milind Tambe Lily Xu C. Yu AI4TS 29 6 0 30 Sep 2022
An Analysis of Model-Based Reinforcement Learning From Abstracted Observations Rolf A. N. Starre Marco Loog E. Congeduti F. Oliehoek OffRL 24 1 0 30 Aug 2022
Reinforcement Learning for Datacenter Congestion Control Chen Tessler Yuval Shpigelman Gal Dalal Amit Mandelbaum Doron Haritan Kazakov Benjamin Fuhrer Gal Chechik Shie Mannor 29 32 0 18 Feb 2021
On Linear Convergence of Policy Gradient Methods for Finite MDPs Jalaj Bhandari Daniel Russo 48 59 0 21 Jul 2020
Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang Ruosong Wang S. Du A. Krishnamurthy 127 135 0 09 Dec 2019