Deep Learning for Reward Design to Improve Monte Carlo Tree Search in ATARI Games

Xiaoxiao Guo, Satinder Singh, Richard Lewis +1

Monte Carlo Tree Search (MCTS) methods have proven powerful in planning for sequential decision-making problems such as Go and video games, but their performance can be poor when t…