Model-based Offline Reinforcement Learning with Count-based Conservatism

21 July 2023

Papers citing "Model-based Offline Reinforcement Learning with Count-based Conservatism"

7 / 7 papers shown

Title
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices Jiin Woo Laixi Shi Gauri Joshi Yuejie Chi OffRL 34 3 0 08 Feb 2024
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 852 0 12 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 105 265 0 04 Oct 2021
Pessimistic Model-based Offline Reinforcement Learning under Partial Coverage Masatoshi Uehara Wen Sun OffRL 100 146 0 13 Jul 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 222 419 0 16 Feb 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 343 1,968 0 04 May 2020
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 171 1,640 0 02 Feb 2020