KR-DL-UCT
Game strategy trainer
A framework for training deep neural networks to learn strategies in continuous action spaces using a kernel-based Monte Carlo tree search.
[ICML 2018] Deep Reinforcement Learning in Continuous Action Spaces: a Case Study in the Game of Simulated Curling
35 stars
4 watching
3 forks
Language: Python
last commit: over 6 years ago
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