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--- |
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license: apache-2.0 |
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--- |
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See http://github.com/sotetsuk/pgx |
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* `dds_results_2.5M.npy` : for training |
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* `dds_results_10M.npy` : for larger training |
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* `dds_results_100M.npy` : for larger training |
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* `dds_results_500K.npy` : for test |
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If you use this dataset in your research, please cite [our paper](https://papers.nips.cc/paper_files/paper/2023/hash/8f153093758af93861a74a1305dfdc18-Abstract-Datasets_and_Benchmarks.html). |
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To make your own dataset, use [sotetsuk/make-dds-dataset](https://github.com/sotetsuk/make-dds-dataset). |
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``` |
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@inproceedings{koyamada2023pgx, |
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title={Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning}, |
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author={Koyamada, Sotetsu and Okano, Shinri and Nishimori, Soichiro and Murata, Yu and Habara, Keigo and Kita, Haruka and Ishii, Shin}, |
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booktitle={Advances in Neural Information Processing Systems}, |
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pages={45716--45743}, |
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volume={36}, |
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year={2023} |
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} |
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``` |
