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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.AI2023
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…
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…