Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation

11 June 2020

Papers citing "Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation"

11 / 11 papers shown

Title
Solving Finite-Horizon MDPs via Low-Rank Tensors Sergio Rozada Jose Luis Orejuela Antonio G. Marques 44 0 0 17 Jan 2025
Exploiting Observation Bias to Improve Matrix Completion Yassir Jedra Sean Mann Charlotte Park Devavrat Shah 37 1 0 03 Jan 2025
Tensor Low-rank Approximation of Finite-horizon Value Functions Sergio Rozada Antonio G. Marques 41 3 0 27 May 2024
Matrix Low-Rank Trust Region Policy Optimization Sergio Rozada Antonio G. Marques 43 0 0 27 May 2024
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz Kaipeng Zhang Pulkit Agrawal 49 15 0 27 Apr 2023
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning Sergio Rozada Santiago Paternain A. Marques 58 13 0 21 Jan 2022
Federated Optimization of Smooth Loss Functions Ali Jadbabaie A. Makur Devavrat Shah FedML 24 7 0 06 Jan 2022
Adaptive Discretization in Online Reinforcement Learning Sean R. Sinclair Siddhartha Banerjee Chao Yu OffRL 40 15 0 29 Oct 2021
Representation Learning for Online and Offline RL in Low-rank MDPs Masatoshi Uehara Xuezhou Zhang Wen Sun OffRL 62 126 0 09 Oct 2021
PerSim: Data-Efficient Offline Reinforcement Learning with Heterogeneous Agents via Personalized Simulators Anish Agarwal Abdullah Alomar Varkey Alumootil Devavrat Shah Dennis Shen Zhi Xu Cindy Yang OffRL 18 18 0 13 Feb 2021
Randomized Value Functions via Posterior State-Abstraction Sampling Dilip Arumugam Benjamin Van Roy OffRL 31 7 0 05 Oct 2020