Monte-Carlo Tree Search as Regularized Policy Optimization

ICML 2020 Jean-Bastien GrillFlorent AltchéYunhao TangThomas HubertMichal ValkoIoannis AntonoglouRémi Munos

The combination of Monte-Carlo tree search (MCTS) with deep reinforcement learning has led to significant advances in artificial intelligence. However, AlphaZero, the current state-of-the-art MCTS algorithm, still relies on handcrafted heuristics that are only partially understood... (read more)

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