Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning

27 October 2023

Papers citing "Guided Data Augmentation for Offline Reinforcement Learning and Imitation Learning"

8 / 8 papers shown

Title
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control Jinzhu Luo Dingyang Chen Qi Zhang OffRL 24 0 0 16 Oct 2024
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning Daesol Cho D. Shim H. J. Kim OffRL 31 11 0 30 Sep 2022
Offline Reinforcement Learning with Implicit Q-Learning Ilya Kostrikov Ashvin Nair Sergey Levine OffRL 206 832 0 12 Oct 2021
What Matters in Learning from Offline Human Demonstrations for Robot Manipulation Ajay Mandlekar Danfei Xu J. Wong Soroush Nasiriany Chen Wang Rohun Kulkarni Li Fei-Fei Silvio Savarese Yuke Zhu Roberto Martín-Martín OffRL 139 461 0 06 Aug 2021
Improving Generalization in Reinforcement Learning with Mixture Regularization Kaixin Wang Bingyi Kang Jie Shao Jiashi Feng 104 113 0 21 Oct 2020
EMaQ: Expected-Max Q-Learning Operator for Simple Yet Effective Offline and Online RL Seyed Kamyar Seyed Ghasemipour Dale Schuurmans S. Gu OffRL 199 119 0 21 Jul 2020
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 321 1,944 0 04 May 2020
CAD2RL: Real Single-Image Flight without a Single Real Image Fereshteh Sadeghi Sergey Levine SSL 216 808 0 13 Nov 2016