Dec 14, 2021 · This paper proposes a generalization of MCTS that works with arbitrarily split moves. We design several variations of the algorithm and try to ...

A straightforward representation is to encode these choices as distinct moves, obtaining a split game tree, instead of using a single move in orthodox design.

A generalization of MCTS that works with arbitrarily split moves is proposed and it is concluded that split design can be greatly beneficial for single- as ...

Jun 23, 2017 · This simulation can be split in two parts: turns in which we utilize the policy from our decision tree; turns in which set random moves for both ...

This paper proposes a generalization of MCTS that works with arbitrarily split moves. We design several variations of the algorithm and try to measure the ...

▷ The compiler generates a reasoner with automatically split moves, according to the given split strategy. ▷ Just-in-time compilation which takes into account ...

Oct 29, 2022 · MCTS usually is meant for games where each player plays turn by turn and the canonical form of the board is passed through the tree.

Feb 16, 2018 · Monte Carlo Tree Search - "most promising" move function · move that results in (100 draws; 10 loses) · move that results in (1 wins; 109 loses).

We design an algorithm that is an adap- tation of Monte-Carlo Tree Search to effectively work with split moves, including enhancements such as action-based ...

Dec 14, 2021 · This paper proposes a generalization of MCTS that works with arbitrarily split moves. We design several variations of the algorithm and try to ...