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Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks
The evaluation results show that, with variable simulation times, the proposed approach outperforms the conventional MCTS in the evaluated continuous decision space tasks and improves the performance of MCTS in most of the ALE tasks.
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