11 citations · 16 across the 3 of their papers we have counts for
3 papers
stat.ML2024★ 11 cited
Regularized Multi-output Gaussian Convolution Process with Domain Adaptation
Wang Xinming, Wang Chao, Song Xuan +2
Multi-output Gaussian process (MGP) has been attracting increasing attention as a transfer learning method to model multiple outputs. Despite its high flexibility and generality, M…
cs.LG2023★ 3 cited
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
Han Zheng, Xufang Luo, Pengfei Wei +3
Conventional reinforcement learning (RL) needs an environment to collect fresh data, which is impractical when online interactions are costly. Offline RL provides an alternative so…
stat.ML2023★ 2 cited
Actor-Critic learning for mean-field control in continuous time
Noufel Frikha, Maximilien Germain, Mathieu Laurière +2
We study policy gradient for mean-field control in continuous time in a reinforcement learning setting. By considering randomised policies with entropy regularisation, we derive a…