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cs.LG2025
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…
cs.LG2023
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…
cs.LG2023★ 2 cited
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…