2 citations · 2 across the 5 of their papers we have counts for
5 papers
Knowledge-Distilled End-to-End Reinforcement Learning for Smooth 6-DOF Thrust Control and Rapid Adaptation to Ocean Currents in Remotely Operated Vehicles
Tiankuang Wen, Huiping Li, Gang Liu +1
With the continuous improvement of computational capabilities, end-to-end reinforcement learning has been rapidly developed for remotely operated vehicles control. Nevertheless, ex…
TIMRL: A Novel Meta-Reinforcement Learning Framework for Non-Stationary and Multi-Task Environments
Chenyang Qi, Huiping Li, Panfeng Huang
In recent years, meta-reinforcement learning (meta-RL) algorithm has been proposed to improve sample efficiency in the field of decision-making and control, enabling agents to lear…
Directly Attention Loss Adjusted Prioritized Experience Replay
Zhuoying Chen, Huiping Li, Zhaoxu Wang
Prioritized Experience Replay (PER) enables the model to learn more about relatively important samples by artificially changing their accessed frequencies. However, this non-unifor…
QFree: A Universal Value Function Factorization for Multi-Agent Reinforcement Learning
Rizhong Wang, Huiping Li, Di Cui +1
Centralized training is widely utilized in the field of multi-agent reinforcement learning (MARL) to assure the stability of training process. Once a joint policy is obtained, it i…
Attention Loss Adjusted Prioritized Experience Replay
Zhuoying Chen, Huiping Li, Rizhong Wang
Prioritized Experience Replay (PER) is a technical means of deep reinforcement learning by selecting experience samples with more knowledge quantity to improve the training rate of…