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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Accelerating and Improving AlphaZero Using Population Based Training

February 1, 2023

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Authors

Ti-Rong Wu

National Chiao Tung University


Ting-Han Wei

National Chiao Tung University


I-Chen Wu

National Chiao Tung University


DOI:

10.1609/aaai.v34i01.5454


Abstract:

AlphaZero has been very successful in many games. Unfortunately, it still consumes a huge amount of computing resources, the majority of which is spent in self-play. Hyperparameter tuning exacerbates the training cost since each hyperparameter configuration requires its own time to train one run, during which it will generate its own self-play records. As a result, multiple runs are usually needed for different hyperparameter configurations. This paper proposes using population based training (PBT) to help tune hyperparameters dynamically and improve strength during training time. Another significant advantage is that this method requires a single run only, while incurring a small additional time cost, since the time for generating self-play records remains unchanged though the time for optimization is increased following the AlphaZero training algorithm. In our experiments for 9x9 Go, the PBT method is able to achieve a higher win rate for 9x9 Go than the baselines, each with its own hyperparameter configuration and trained individually. For 19x19 Go, with PBT, we are able to obtain improvements in playing strength. Specifically, the PBT agent can obtain up to 74% win rate against ELF OpenGo, an open-source state-of-the-art AlphaZero program using a neural network of a comparable capacity. This is compared to a saturated non-PBT agent, which achieves a win rate of 47% against ELF OpenGo under the same circumstances.

Topics: AAAI

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HOW TO CITE:

Ti-Rong Wu||Ting-Han Wei||I-Chen Wu Accelerating and Improving AlphaZero Using Population Based Training Proceedings of the AAAI Conference on Artificial Intelligence (2020) 1046-1053.

Ti-Rong Wu||Ting-Han Wei||I-Chen Wu Accelerating and Improving AlphaZero Using Population Based Training AAAI 2020, 1046-1053.

Ti-Rong Wu||Ting-Han Wei||I-Chen Wu (2020). Accelerating and Improving AlphaZero Using Population Based Training. Proceedings of the AAAI Conference on Artificial Intelligence, 1046-1053.

Ti-Rong Wu||Ting-Han Wei||I-Chen Wu. Accelerating and Improving AlphaZero Using Population Based Training. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.1046-1053.

Ti-Rong Wu||Ting-Han Wei||I-Chen Wu. 2020. Accelerating and Improving AlphaZero Using Population Based Training. "Proceedings of the AAAI Conference on Artificial Intelligence". 1046-1053.

Ti-Rong Wu||Ting-Han Wei||I-Chen Wu. (2020) "Accelerating and Improving AlphaZero Using Population Based Training", Proceedings of the AAAI Conference on Artificial Intelligence, p.1046-1053

Ti-Rong Wu||Ting-Han Wei||I-Chen Wu, "Accelerating and Improving AlphaZero Using Population Based Training", AAAI, p.1046-1053, 2020.

Ti-Rong Wu||Ting-Han Wei||I-Chen Wu. "Accelerating and Improving AlphaZero Using Population Based Training". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.1046-1053.

Ti-Rong Wu||Ting-Han Wei||I-Chen Wu. "Accelerating and Improving AlphaZero Using Population Based Training". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 1046-1053.

Ti-Rong Wu||Ting-Han Wei||I-Chen Wu. Accelerating and Improving AlphaZero Using Population Based Training. AAAI[Internet]. 2020[cited 2023]; 1046-1053.


ISSN: 2374-3468


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