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Christopher Bamford
Christopher Bamford
Mistral AI
没有经过验证的电子邮件地址
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引用次数
引用次数
年份
Mistral 7B
AQ Jiang, A Sablayrolles, A Mensch, C Bamford, DS Chaplot, D Casas, ...
arXiv preprint arXiv:2310.06825, 2023
1501*2023
Mixtral of experts
AQ Jiang, A Sablayrolles, A Roux, A Mensch, B Savary, C Bamford, ...
arXiv preprint arXiv:2401.04088, 2024
3592024
Gym-µrts: Toward affordable full game real-time strategy games research with deep reinforcement learning
S Huang, S Ontañón, C Bamford, L Grela
2021 IEEE Conference on Games (CoG), 1-8, 2021
332021
Griddly: A platform for grid-game AI research
C Bamford, S Huang
https://arxiv.org/abs/2011.06363, 2020
31*2020
A local approach to forward model learning: Results on the game of life game
SM Lucas, A Dockhorn, V Volz, C Bamford, RD Gaina, I Bravi, ...
2019 IEEE Conference on Games (CoG), 1-8, 2019
222019
Generalising discrete action spaces with conditional action trees
C Bamford, A Ovalle
2021 IEEE Conference on Games (CoG), 1-8, 2021
72021
Neural game engine: Accurate learning of generalizable forward models from pixels
C Bamford, SM Lucas
2020 IEEE Conference on Games (CoG), 81-88, 2020
72020
GriddlyJS: A Web IDE for Reinforcement Learning
C Bamford, M Jiang, M Samvelyan, T Rocktäschel
NeurIPS 2022, 2022
62022
Cavalcade neural network for mobile robot
CD Bamford, RJ Mitchell
2010 IEEE 9th International Conference on Cyberntic Intelligent Systems, 1-6, 2010
12010
Ghost In the Grid: Challenges for Reinforcement Learning in Grid World Environments
C Bamford
2023
Modular non-computational-connectionist-hybrid neural network approach to robotic systems
CD Bamford, RJ Mitchell
Paladyn 2, 126-133, 2011
2011
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