Reinforcement learning with dual-observation for general video game playing C Hu, Z Wang, T Shu, H Tong, J Togelius, X Yao, J Liu IEEE Transactions on Games, 2022 | 4 | 2022 |
Bi-objective splitting delivery VRP with loading constraints and restricted access J Pei, C Hu, J Liu, Y Mei, X Yao 2021 IEEE Symposium Series on Computational Intelligence (SSCI), 01-09, 2021 | 3 | 2021 |
Game-based Platforms for Artificial Intelligence Research C Hu, Y Zhao, Z Wang, H Du, J Liu arXiv preprint arXiv:2304.13269, 2023 | 2 | 2023 |
Negatively Correlated Ensemble Reinforcement Learning for Online Diverse Game Level Generation Z Wang, C Hu, J Liu, X Yao The Twelfth International Conference on Learning Representations, 2023 | 1 | 2023 |
Evolving Constrained Reinforcement Learning Policy C Hu, J Pei, J Liu, X Yao 2023 International Joint Conference on Neural Networks (IJCNN), 2023 | 1 | 2023 |
Evolutionary Reinforcement Learning via Cooperative Coevolution C Hu, J Liu, X Yao arXiv preprint arXiv:2404.14763, 2024 | | 2024 |
Generating Games via LLMs: An Investigation with Video Game Description Language C Hu, Y Zhao, J Liu arXiv preprint arXiv:2404.08706, 2024 | | 2024 |
Playing With Monte-Carlo Tree Search [AI-eXplained] Y Zhao, C Hu, J Liu IEEE Computational Intelligence Magazine 19 (1), 85-86, 2024 | | 2024 |
Generating Redstone Style Cities in Minecraft S Huang, C Hu, J Togelius, J Liu 2023 IEEE Conference on Games (CoG), 1-4, 2023 | | 2023 |
Constrained Reinforcement Learning for Dynamic Material Handling C Hu, Z Wang, J Liu, J Wen, B Mao, X Yao 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | | 2023 |