AI Research
FB-MOAC: A Reinforcement Learning Algorithm for Forward-Backward Markov Decision Processes
A reinforcement learning approach for forward-backward Markov decision processes
Reinforcement learning (RL) algorithms are effective in solving problems that can be modeled as Markov decision processes (MDPs).
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ArXiv CS.LG
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2 min
ArXiv CS.LG
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The work focuses on reinforcement learning for a specific class of decision processes, potentially broadening how such problems are approached. The supplied text does not describe the algorithm’s methods or results, so its practical impact cannot be assessed.
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