M0RV Model: Advancing the MuZero Algorithm Through Strategic Data Optimization Reuse and Value Function Refinement

This paper introduces a model, M0RV, that improves the MuZero algorithm through data reuse and loss function optimization. It proposes reusing training trajectories generated by Monte Carlo Tree Search (MCTS) after filtering through an evaluation function trace into the training process, and on this...

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Detalles Bibliográficos

Autores principales:	Xuejian Chen, Yang Cao, Hongfei Yu, Caihua Sun
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	IEEE 2024-01-01
Colección:	IEEE Access
Materias:	MuZero MCTS game training optimization
Acceso en línea:	https://ieeexplore.ieee.org/document/10648685/
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