Understanding and Addressing the Pitfalls of Bisimulation-based
Representations in Offline Reinforcement Learning

Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning

26 October 2023

Yang Liu

Rémi Tachet des Combes

Papers citing "Understanding and Addressing the Pitfalls of Bisimulation-based Representations in Offline Reinforcement Learning"

6 / 6 papers shown

Title
Learning Fused State Representations for Control from Multi-View Observations Zeyu Wang Yao Li Xin Li Hongyu Zang Romain Laroche Riashat Islam OffRL 54 0 0 03 Feb 2025
Intrinsic Dynamics-Driven Generalizable Scene Representations for Vision-Oriented Decision-Making Applications Dayang Liang Jinyang Lai Yunlong Liu 33 0 0 30 May 2024
An Empirical Investigation of Representation Learning for Imitation Xin Chen Sam Toyer Cody Wild Scott Emmons Ian S. Fischer ... Steven H. Wang Ping Luo Stuart J. Russell Pieter Abbeel Rohin Shah AI4TS 33 27 0 16 May 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 848 0 12 Oct 2021
Decoupling Representation Learning from Reinforcement Learning Adam Stooke Kimin Lee Pieter Abbeel Michael Laskin SSL DRL 284 341 0 14 Sep 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,963 0 04 May 2020