Multiple Policy Value Monte Carlo Tree Search

31 May 2019Li-Cheng LanWei LiTing-Han WeiI-Chen Wu

Many of the strongest game playing programs use a combination of Monte Carlo tree search (MCTS) and deep neural networks (DNN), where the DNNs are used as policy or value evaluators. Given a limited budget, such as online playing or during the self-play phase of AlphaZero (AZ) training, a balance needs to be reached between accurate state estimation and more MCTS simulations, both of which are critical for a strong game playing agent... (read more)

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