State Action Separable Reinforcement Learning

5 Jun 2020Ziyao ZhangLiang MaKin K. LeungKonstantinos PoularakisMudhakar Srivatsa

Reinforcement Learning (RL) based methods have seen their paramount successes in solving serial decision-making and control problems in recent years. For conventional RL formulations, Markov Decision Process (MDP) and state-action-value function are the basis for the problem modeling and policy evaluation... (read more)

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