Parameterized MDPs and Reinforcement Learning Problems -- A Maximum Entropy Principle Based Framework

We present a framework to address a class of sequential decision making problems. Our framework features learning the optimal control policy with robustness to noisy data, determining the unknown state and action parameters, and performing sensitivity analysis with respect to problem parameters... (read more)

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METHOD TYPE
Double Q-learning
Off-Policy TD Control
Q-Learning
Off-Policy TD Control