On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game

19 October 2021

Papers citing "On Reward-Free RL with Kernel and Neural Function Approximations: Single-Agent MDP and Markov Game"

7 / 7 papers shown

Title
Policy Finetuning in Reinforcement Learning via Design of Experiments using Offline Data Ruiqi Zhang Andrea Zanette OffRL OnRL 42 7 0 10 Jul 2023
Learning General World Models in a Handful of Reward-Free Deployments Yingchen Xu Jack Parker-Holder Aldo Pacchiano Philip J. Ball Oleh Rybkin Stephen J. Roberts Tim Rocktaschel Edward Grefenstette OffRL 62 9 0 23 Oct 2022
On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL Jinglin Chen Aditya Modi A. Krishnamurthy Nan Jiang Alekh Agarwal 38 25 0 21 Jun 2022
Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization Mirco Mutti Ric De Santi Emanuele Rossi J. Calderón Michael M. Bronstein Marcello Restelli 36 14 0 14 Feb 2022
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints Chi Jin Zhuoran Yang Zhaoran Wang OffRL 122 167 0 06 Jan 2021
Reward-Free Exploration for Reinforcement Learning Chi Jin A. Krishnamurthy Max Simchowitz Tiancheng Yu OffRL 112 194 0 07 Feb 2020
Optimism in Reinforcement Learning with Generalized Linear Function Approximation Yining Wang Ruosong Wang S. Du A. Krishnamurthy 137 135 0 09 Dec 2019