When is Agnostic Reinforcement Learning Statistically Tractable?

9 October 2023

Papers citing "When is Agnostic Reinforcement Learning Statistically Tractable?"

8 / 8 papers shown

Title
Regressing the Relative Future: Efficient Policy Optimization for Multi-turn RLHF Zhaolin Gao Wenhao Zhan Jonathan D. Chang Gokul Swamy Kianté Brantley Jason D. Lee Wen Sun OffRL 54 3 0 06 Oct 2024
Random Latent Exploration for Deep Reinforcement Learning Srinath Mahankali Zhang-Wei Hong Ayush Sekhari Alexander Rakhlin Pulkit Agrawal 20 2 0 18 Jul 2024
RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation Jeongyeol Kwon Shie Mannor C. Caramanis Yonathan Efroni OffRL 22 2 0 03 Jun 2024
Agnostic Interactive Imitation Learning: New Theory and Practical Algorithms Yichen Li Chicheng Zhang OffRL 26 0 0 28 Dec 2023
Representation Learning with Multi-Step Inverse Kinematics: An Efficient and Optimal Approach to Rich-Observation RL Zakaria Mhammedi Dylan J. Foster Alexander Rakhlin 61 18 0 12 Apr 2023
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 2022
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 104 194 0 07 Feb 2020
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 192 1,325 0 05 Jun 2016