More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning

11 February 2024

Papers citing "More Benefits of Being Distributional: Second-Order Bounds for Reinforcement Learning"

6 / 6 papers shown

Title
Diffusing States and Matching Scores: A New Framework for Imitation Learning Runzhe Wu Yiding Chen Gokul Swamy Kianté Brantley Wen Sun DiffM 42 3 0 17 Oct 2024
Second Order Bounds for Contextual Bandits with Function Approximation Aldo Pacchiano 56 4 0 24 Sep 2024
The Central Role of the Loss Function in Reinforcement Learning Kaiwen Wang Nathan Kallus Wen Sun OffRL 53 7 0 19 Sep 2024
First- and Second-Order Bounds for Adversarial Linear Contextual Bandits Julia Olkhovskaya J. Mayo T. Erven Gergely Neu Chen-Yu Wei 51 10 0 01 May 2023
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 96 144 0 13 Jul 2021
Conservative Offline Distributional Reinforcement Learning Yecheng Jason Ma Dinesh Jayaraman Osbert Bastani OffRL 70 78 0 12 Jul 2021