The authors compare multiple methods for incorporating action information into RNN state updates for RL and report empirical results on illustrative domains.
Because of these compromises, it is still unclear if transformers are a viable solution to the state construction problem in continual reinforcement learning
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Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning
The authors compare multiple methods for incorporating action information into RNN state updates for RL and report empirical results on illustrative domains.