RESEARCHarXiv CS.LG·22d ago
Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning
This paper investigates how action information can be incorporated into the state update function of a recurrent cell within recurrent neural networks (RNNs) for reinforcement learning (RL). The authors discuss several choices and empirically evaluate the resulting architectures on illustrative domains.
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