Roel Bouman, Zaharah Bukhsh, Tom Heskes
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Christoph Leiter, Piyawat Lertvittayakumjorn, Marina Fomicheva, Wei Zhao, Yang Gao, Steffen Eger
Abhishek Kaul, Hongjin Zhang, Konstantinos Tsampourakis, George Michailidis
Yao Ji, Gesualdo Scutari, Ying Sun, Harsha Honnappa
Tomas Rigaux, Hisashi Kashima
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Mastering games is a hard task, as games can be extremely complex, and still fundamentally different in structure from one another. While the AlphaZero algorithm has demonstrated an impressive ability to learn the rules and strategy of a large variety of games, ranging from Go and Chess, to Atari games, its reliance on extensive computational resources and rigid Convolutional Neural Network (CNN) architecture limits its adaptability and scalability. A model trained to play on a $19\times 19$ Go board cannot be used to play on a smaller $13\times 13$ board, despite the similarity between the two Go variants. In this paper, we focus on Chess, and explore using a more generic Graph-based Representation of a game state, rather than a grid-based one, to introduce a more general architecture based on Graph Neural Networks (GNN). We also expand the classical Graph Attention Network (GAT) layer to incorporate edge-features, to naturally provide a generic policy output format. Our experiments, performed on smaller networks than the initial AlphaZero paper, show that this new architecture outperforms previous architectures with a similar number of parameters, being able to increase playing strength an order of magnitude faster. We also show that the model, when trained on a smaller $5\times 5$ variant of chess, is able to be quickly fine-tuned to play on regular $8\times 8$ chess, suggesting that this approach yields promising generalization abilities. Our code is available at https://github.com/akulen/AlphaGateau.
Samuele Bortolotti, Emanuele Marconato, Tommaso Carraro, Paolo Morettin, Emile van Krieken, Antonio Vergari, Stefano Teso, Andrea Passerini
Yichi Zhang, Yao Huang, Yitong Sun, Chang Liu, Zhe Zhao, Zhengwei Fang, Yifan Wang, Huanran Chen, Xiao Yang, Xingxing Wei, Hang Su, Yinpeng Dong, Jun Zhu
Shayne Longpre, Robert Mahari, Ariel Lee, Campbell Lund, Hamidah Oderinwale, William Brannon, Nayan Saxena, Naana Obeng-Marnu, Tobin South, Cole Hunter, Kevin Klyman, Christopher Klamm, Hailey Schoelkopf, Nikhil Singh, Manuel Cherep, Ahmad Anis, An Dinh, Caroline Shamiso Chitongo, Da Yin, Damien Sileo, Deividas Mataciunas, Diganta Misra, Emad Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kushagra Tiwary, Lester James V. Miranda, Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Minh Chien Vu, Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, Alex Pentland
Josselin Roberts, Tony Lee, Chi Heem Wong, Michihiro Yasunaga, Yifan Mai, Percy Liang
Pavan Kalyan Tankala, Piyush Pasi, Sahil Dharod, Azeem Motiwala, Preethi Jyothi, Aditi Chaudhary, Krishna Srinivasan
Nicholas Dronen, Bardiya Akhbari, Manish Digambar Gawali
Michał Junczyk
Kefan Su, Yusen Huo, Zhilin Zhang, Shuai Dou, Chuan Yu, Jian Xu, Zongqing Lu, Bo Zheng
Jin Wu, Haoying Zhou, Peter Kazanzides, Adnan Munawar, Anqi Liu
Richard Ren, Steven Basart, Adam Khoja, Alexander Pan, Alice Gatti, Long Phan, Xuwang Yin, Mantas Mazeika, Gabriel Mukobi, Ryan Kim, Stephen Fitz, Dan Hendrycks
Haoyu Geng, Hang Ruan, Runzhong Wang, Yang Li, Yang Wang, Lei Chen, Junchi Yan
Huzaifa Pardawala, Siddhant Sukhani, Veer Kejriwal, Rohan Bhasin, Abhishek Pillai, Dhruv Adha, Tarun Mandapati, Andrew DiBiasio, Agam Shah, Sudheer Chava
Yiwei Wu, Leah Ajmani, Shayne Longpre, Hanlin Li
Chia-Ju Chen, Runsheng Xu, Wei Shao, Junshan Zhang, Zhengzhong Tu
Minkyu Jeon, Rishwanth Raghu, Miro Astore, Geoffrey Woollard, J. Feathers, Alkin Kaz, Sonya Hanson, Pilar Cossio, Ellen Zhong