Can Q-Learning be Improved with Advice?

25 October 2021

Papers citing "Can Q-Learning be Improved with Advice?"

10 / 10 papers shown

Title
Can RLHF be More Efficient with Imperfect Reward Models? A Policy Coverage Perspective Jiawei Huang Bingcong Li Christoph Dann Niao He OffRL 156 1 0 26 Feb 2025
Learning-augmented Online Minimization of Age of Information and Transmission Costs Zhongdong Liu Keyuan Zhang Bin Li Yin Sun Y. T. Hou Bo Ji 41 3 0 05 Mar 2024
Provably Efficient Multi-Task Reinforcement Learning with Model Transfer Chicheng Zhang Zhi Wang OffRL 36 19 0 19 Jul 2021
The Effect of Q-function Reuse on the Total Regret of Tabular, Model-Free, Reinforcement Learning Volodymyr Tkachuk Sriram Ganapathi Subramanian Matthew E. Taylor 23 2 0 07 Mar 2021
$Q$ -learning with Logarithmic Regret Kunhe Yang Lin F. Yang S. Du 55 59 0 16 Jun 2020
Reinforcement Learning in Healthcare: A Survey Chao Yu Jiming Liu S. Nemati LM&MA OffRL 102 557 0 22 Aug 2019
Tighter Problem-Dependent Regret Bounds in Reinforcement Learning without Domain Knowledge using Value Function Bounds Andrea Zanette Emma Brunskill OffRL 93 273 0 01 Jan 2019
The Case for Learned Index Structures Tim Kraska Alex Beutel Ed H. Chi J. Dean N. Polyzotis 61 1,030 0 04 Dec 2017
Optimization, Learning, and Games with Predictable Sequences Alexander Rakhlin Karthik Sridharan 51 377 0 08 Nov 2013
Online Learning with Predictable Sequences Alexander Rakhlin Karthik Sridharan 105 355 0 18 Aug 2012