Influence-aware memory architectures for deep reinforcement learning in POMDPs
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Due to its perceptual limitations, an agent may have too little information about the environment to act optimally. In such cases, it is important to keep track of the action-observation history to uncover hidden state information. Recent deep reinforcement le... ...
