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)

PDF Abstract ICML 2020 PDF

Code


No code implementations yet. Submit your code now

Tasks


Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper