Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation

11 June 2020

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

24 / 24 papers shown

Title
Solving Finite-Horizon MDPs via Low-Rank Tensors Sergio Rozada Jose Luis Orejuela Antonio G. Marques 108 0 0 17 Jan 2025
Exploiting Observation Bias to Improve Matrix Completion Yassir Jedra Sean Mann Charlotte Park Devavrat Shah 458 1 0 03 Jan 2025
Model-free Low-Rank Reinforcement Learning via Leveraged Entry-wise Matrix Estimation Stefan Stojanovic Yassir Jedra Alexandre Proutiere 69 0 0 30 Oct 2024
Tensor Low-rank Approximation of Finite-horizon Value Functions Sergio Rozada Antonio G. Marques 74 3 0 27 May 2024
Matrix Low-Rank Approximation For Policy Gradient Methods Sergio Rozada A. Marques 64 2 0 27 May 2024
Matrix Low-Rank Trust Region Policy Optimization Sergio Rozada Antonio G. Marques 87 0 0 27 May 2024
Compositional Conservatism: A Transductive Approach in Offline Reinforcement Learning Yeda Song Dongwook Lee Gunhee Kim OffRL 64 1 0 06 Apr 2024
From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers M. E. Ildiz Yixiao Huang Yingcong Li A. S. Rawat Samet Oymak 90 23 0 21 Feb 2024
Spectral Entry-wise Matrix Estimation for Low-Rank Reinforcement Learning Stefan Stojanovic Yassir Jedra Alexandre Proutière 61 5 0 10 Oct 2023
Combining Explicit and Implicit Regularization for Efficient Learning in Deep Networks Dan Zhao 111 6 0 01 Jun 2023
Matrix Estimation for Offline Reinforcement Learning with Low-Rank Structure Xumei Xi Chao Yu Yudong Chen OffRL 40 0 0 24 May 2023
Learning to Extrapolate: A Transductive Approach Aviv Netanyahu Abhishek Gupta Max Simchowitz Kai Zhang Pulkit Agrawal 100 16 0 27 Apr 2023
Network Synthetic Interventions: A Causal Framework for Panel Data Under Network Interference Anish Agarwal Sarah H. Cen Devavrat Shah Christina Lee Yu CML 91 5 0 20 Oct 2022
Multi-User Reinforcement Learning with Low Rank Rewards Naman Agarwal Prateek Jain S. Kowshik Dheeraj M. Nagaraj Praneeth Netrapalli OffRL 87 1 0 11 Oct 2022
Overcoming the Long Horizon Barrier for Sample-Efficient Reinforcement Learning with Latent Low-Rank Structure Tyler Sam Yudong Chen Chao Yu OffRL 123 7 0 07 Jun 2022
Tensor and Matrix Low-Rank Value-Function Approximation in Reinforcement Learning Sergio Rozada Santiago Paternain A. Marques 101 14 0 21 Jan 2022
Federated Optimization of Smooth Loss Functions Ali Jadbabaie A. Makur Devavrat Shah FedML 429 7 0 06 Jan 2022
Adaptive Discretization in Online Reinforcement Learning Sean R. Sinclair Siddhartha Banerjee Chao Yu OffRL 87 17 0 29 Oct 2021
Representation Learning for Online and Offline RL in Low-rank MDPs Masatoshi Uehara Xuezhou Zhang Wen Sun OffRL 140 129 0 09 Oct 2021
Agnostic Reinforcement Learning with Low-Rank MDPs and Rich Observations Christoph Dann Yishay Mansour M. Mohri Ayush Sekhari Karthik Sridharan OffRL 57 11 0 22 Jun 2021
Low-rank State-action Value-function Approximation Sergio Rozada Victor M. Tenorio A. Marques OffRL 79 9 0 18 Apr 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 76 18 0 13 Feb 2021
On Using Hamiltonian Monte Carlo Sampling for Reinforcement Learning Problems in High-dimension Udari Madhushani Biswadip Dey Naomi Ehrich Leonard Amit Chakraborty OffRL 41 1 0 11 Nov 2020
Randomized Value Functions via Posterior State-Abstraction Sampling Dilip Arumugam Benjamin Van Roy OffRL 85 7 0 05 Oct 2020