Train Once, Get a Family: State-Adaptive Balances for Offline-to-Online Reinforcement Learning

1 code implementation • NeurIPS 2023 • Shenzhi Wang, Qisen Yang, Jiawei Gao, Matthieu Gaetan Lin, Hao Chen, Liwei Wu, Ning Jia, Shiji Song, Gao Huang

Existing solutions tackle this problem by imposing a policy constraint on the policy improvement objective in both offline and online learning.

D4RL Reinforcement Learning (RL)

DiffPoseTalk: Speech-Driven Stylistic 3D Facial Animation and Head Pose Generation via Diffusion Models

no code implementations • 30 Sep 2023 • Zhiyao Sun, Tian Lv, Sheng Ye, Matthieu Gaetan Lin, Jenny Sheng, Yu-Hui Wen, MinJing Yu, Yong-Jin Liu

The generation of stylistic 3D facial animations driven by speech poses a significant challenge as it requires learning a many-to-many mapping between speech, style, and the corresponding natural facial motion.

Boosting Offline Reinforcement Learning with Action Preference Query

no code implementations • 6 Jun 2023 • Qisen Yang, Shenzhi Wang, Matthieu Gaetan Lin, Shiji Song, Gao Huang

In particular, online fine-tuning has become a commonly used method to correct the erroneous estimates of out-of-distribution data learned in the offline training phase.

Autonomous Driving D4RL +2

A Mixture of Surprises for Unsupervised Reinforcement Learning

1 code implementation • 13 Oct 2022 • Andrew Zhao, Matthieu Gaetan Lin, Yangguang Li, Yong-Jin Liu, Gao Huang

However, both strategies rely on a strong assumption: the entropy of the environment's dynamics is either high or low.

reinforcement-learning Reinforcement Learning (RL) +1