Information-Theoretic Considerations in Batch Reinforcement Learning

1 May 2019

Papers citing "Information-Theoretic Considerations in Batch Reinforcement Learning"

6 / 6 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 161 1 0 26 Feb 2025
Counterfactually Fair Reinforcement Learning via Sequential Data Preprocessing Jitao Wang C. Shi John D. Piette Joshua R. Loftus Donglin Zeng Zhenke Wu OffRL 96 0 0 10 Jan 2025
On The Statistical Complexity of Offline Decision-Making Thanh Nguyen-Tang R. Arora OffRL 140 1 0 10 Jan 2025
The Central Role of the Loss Function in Reinforcement Learning Kaiwen Wang Nathan Kallus Wen Sun OffRL 165 10 0 19 Sep 2024
The Bandit Whisperer: Communication Learning for Restless Bandits Yunfan Zhao Tonghan Wang Dheeraj M. Nagaraj Aparna Taneja Milind Tambe 81 5 0 11 Aug 2024
Deep Reinforcement Learning and the Deadly Triad H. V. Hasselt Yotam Doron Florian Strub Matteo Hessel Nicolas Sonnerat Joseph Modayil OffRL 63 226 0 06 Dec 2018