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Belief Embedding Tree Search

Solinas, Christopher et al.
arXiv (All) · Papers
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machine-learning
Beliefs in a Partially Observable Markov Decision Process (POMDP) are posterior distributions over the hidden state given the agent's history of actions and observations. They summarize everything the history says about the state, so planning in a POMDP is planning in a Markov decision process (MDP)
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