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Found 2 papers, 1 papers with code
Bridging State and History Representations: Understanding Self-Predictive RL
These findings culminate in a set of preliminary guidelines for RL practitioners.
Approximate information state based convergence analysis of recurrent Q-learning
In spite of the large literature on reinforcement learning (RL) algorithms for partially observable Markov decision processes (POMDPs), a complete theoretical understanding is still lacking.
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