Actor-Critic for Linearly-Solvable Continuous MDP with Partially Known Dynamics

arXiv: Artificial Intelligence, Volume abs/1706.01077, 2017.

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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

In many robotic applications, some aspects of the system dynamics can be modeled accurately while others are difficult to obtain or model. We present a novel reinforcement learning (RL) method for continuous state and action spaces that learns with partial knowledge of the system and without active exploration. It solves linearly-solvable...More

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