Spectral Decomposition Representation for Reinforcement Learning

Spectral Decomposition Representation for Reinforcement Learning

19 August 2022

Tianjun Zhang

Joseph E. Gonzalez

Dale Schuurmans

Papers citing "Spectral Decomposition Representation for Reinforcement Learning"

10 / 10 papers shown

Title
Spectral Representation for Causal Estimation with Hidden Confounders Tongzheng Ren Haotian Sun Antoine Moulin Arthur Gretton Bo Dai CML 24 1 0 15 Jul 2024
Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning Xiaoyu Wen Chenjia Bai Kang Xu Xudong Yu Yang Zhang Xuelong Li Zhen Wang 34 2 0 10 May 2024
Skill Transfer and Discovery for Sim-to-Real Learning: A Representation-Based Viewpoint Haitong Ma Zhaolin Ren Bo Dai Na Li 24 1 0 07 Apr 2024
Towards a Better Understanding of Representation Dynamics under TD-learning Yunhao Tang Rémi Munos OffRL 16 1 0 29 May 2023
Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs Yuan-Chia Cheng Ruiquan Huang J. Yang Yitao Liang OffRL 37 8 0 20 Mar 2023
Deep Laplacian-based Options for Temporally-Extended Exploration Martin Klissarov Marlos C. Machado OffRL 14 18 0 26 Jan 2023
Does Zero-Shot Reinforcement Learning Exist? Ahmed Touati Jérémy Rapin Yann Ollivier OffRL 20 38 0 29 Sep 2022
Model-free Representation Learning and Exploration in Low-rank MDPs Aditya Modi Jinglin Chen A. Krishnamurthy Nan Jiang Alekh Agarwal OffRL 98 78 0 14 Feb 2021
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 276 339 0 14 Sep 2020
Conditional mean embeddings as regressors - supplementary Steffen Grunewalder Guy Lever Luca Baldassarre Sam Patterson A. Gretton Massimiliano Pontil 80 143 0 21 May 2012