Learning from Sparse Offline Datasets via Conservative Density
Estimation

Learning from Sparse Offline Datasets via Conservative Density Estimation

16 January 2024

Ding Zhao

Papers citing "Learning from Sparse Offline Datasets via Conservative Density Estimation"

8 / 8 papers shown

Title
Video-Enhanced Offline Reinforcement Learning: A Model-Based Approach Minting Pan Yitao Zheng J. Li Yunbo Wang Xiaokang Yang OffRL 48 0 0 10 May 2025
Feasibility Consistent Representation Learning for Safe Reinforcement Learning Zhepeng Cen Yi-Fan Yao Zuxin Liu Ding Zhao OffRL 40 3 0 20 May 2024
Generalize by Touching: Tactile Ensemble Skill Transfer for Robotic Furniture Assembly Hao-ming Lin Radu Corcodel Ding Zhao 40 7 0 26 Apr 2024
A Review of Safe Reinforcement Learning: Methods, Theory and Applications Shangding Gu Longyu Yang Yali Du Guang Chen Florian Walter Jun Wang Alois C. Knoll OffRL AI4TS 115 237 0 20 May 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
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,960 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 165 1,632 0 02 Feb 2020