HIPODE: Enhancing Offline Reinforcement Learning with High-Quality
Synthetic Data from a Policy-Decoupled Approach

HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach

10 June 2023

Yan Zheng

Papers citing "HIPODE: Enhancing Offline Reinforcement Learning with High-Quality Synthetic Data from a Policy-Decoupled Approach"

8 / 8 papers shown

Title
CORL: Research-oriented Deep Offline Reinforcement Learning Library Denis Tarasov Alexander Nikulin Dmitry Akimov Vladislav Kurenkov Sergey Kolesnikov OffRL 54 78 0 13 Oct 2022
d3rlpy: An Offline Deep Reinforcement Learning Library Takuma Seno M. Imai OffRL GP 60 100 0 06 Nov 2021
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 214 843 0 12 Oct 2021
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 105 262 0 04 Oct 2021
Offline Reinforcement Learning with Reverse Model-based Imagination Jianhao Wang Wenzhe Li Haozhe Jiang Guangxiang Zhu Siyuan Li Chongjie Zhang OffRL 103 60 0 01 Oct 2021
Conservative Offline Distributional Reinforcement Learning Yecheng Jason Ma Dinesh Jayaraman Osbert Bastani OffRL 70 78 0 12 Jul 2021
COMBO: Conservative Offline Model-Based Policy Optimization Tianhe Yu Aviral Kumar Rafael Rafailov Aravind Rajeswaran Sergey Levine Chelsea Finn OffRL 219 415 0 16 Feb 2021
Deep Reinforcement Learning for Autonomous Driving: A Survey B. R. Kiran Ibrahim Sobh V. Talpaert Patrick Mannion A. A. Sallab S. Yogamani P. Pérez 165 1,631 0 02 Feb 2020