LightZero: A unified benchmark for Monte Carlo Tree Search in general sequential decision scenarios

The dataset used in the paper is not explicitly described. However, it is mentioned that the authors used Atari environments and board games to evaluate the proposed algorithm.

Data and Resources

Cite this as

Chunyu Xuan, Yazhe Niu, Yuan Pu, Shuai Hu, Yu Liu, Jing Yang (2024). Dataset: LightZero: A unified benchmark for Monte Carlo Tree Search in general sequential decision scenarios. https://doi.org/10.57702/fhn4y57y

DOI retrieved: December 2, 2024

Additional Info

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Created December 2, 2024
Last update December 2, 2024
Author Chunyu Xuan
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Yazhe Niu
Yuan Pu
Shuai Hu
Yu Liu
Jing Yang
Homepage https://github.com/opendilab/LightZero