Directly Attention Loss Adjusted Prioritized Experience Replay

no code implementations • 24 Nov 2023 • 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.

Multi-agent Reinforcement Learning reinforcement-learning

Attention Loss Adjusted Prioritized Experience Replay

no code implementations • 13 Sep 2023 • 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 neural network.

Multi-agent Reinforcement Learning OpenAI Gym +1