Chris Bamford

According to our database, Chris Bamford authored at least 10 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Mixtral of Experts.

Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Emma Bou Hanna, Florian Bressand, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Théophile Gervet, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed

CoRR, 2024

2023

Mistral 7B.

Albert Q. Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de Las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, William El Sayed

CoRR, 2023

2022

GriddlyJS: A Web IDE for Reinforcement Learning.

Christopher Bamford, Minqi Jiang, Mikayel Samvelyan, Tim Rocktäschel

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Griddly: A platform for AI research in games.

Christopher Bamford

Softw. Impacts, 2021

Gym-µRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning.

Shengyi Huang, Santiago Ontañón, Chris Bamford, Lukasz Grela

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

Generalising Discrete Action Spaces with Conditional Action Trees.

Christopher Bamford, Alvaro Ovalle

Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

2020

Griddly: A platform for AI research in games.

Chris Bamford, Shengyi Huang, Simon M. Lucas

CoRR, 2020

Neural Game Engine: Accurate learning ofgeneralizable forward models from pixels.

Chris Bamford, Simon M. Lucas

CoRR, 2020

Neural Game Engine: Accurate learning of generalizable forward models from pixels.

Chris Bamford, Simon M. Lucas

Proceedings of the IEEE Conference on Games, 2020

2019

A Local Approach to Forward Model Learning: Results on the Game of Life Game.

Simon M. Lucas, Alexander Dockhorn, Vanessa Volz, Chris Bamford, Raluca D. Gaina, Ivan Bravi, Diego Pérez-Liébana, Sanaz Mostaghim, Rudolf Kruse

Proceedings of the IEEE Conference on Games, 2019