Researcher

Chris Bamford

Also known as Christopher Bamford

Chris Bamford is an AI researcher whose work spans game-AI systems, language models, and robot navigation. He co-authored Griddly and GriddlyJS, a web IDE for reinforcement-learning research, and papers on Mistral 7B, Mixtral, and Magistral. In July 2026, he co-authored Robostral Navigate, an 8B vision-language model for robot navigation from monocular RGB images. As of October 2026, he is an AI Scientist at Mistral AI.

Works
19
Citations
542
h-index
6
Badges

Publication numbers from OpenAlex, as of 19 October 2026.

Timeline

  1. 2020

    Griddly for game AI

    A 2020 paper co-authored by Bamford introduces Griddly, a configurable platform for Game AI research with different observer types and an efficient C++ core engine.

  2. 2022

    GriddlyJS for reinforcement learning

    In 2022, he co-authors GriddlyJS, a web IDE for designing and debugging grid-world environments and evaluating trained reinforcement-learning agents.

  3. 2023

    Mistral 7B

    He co-authors Mistral 7B in 2023, a 7-billion-parameter model using grouped-query and sliding-window attention.

  4. 2024

    Mixtral of Experts

    Mixtral of Experts includes him as a co-author in 2024 and introduces a sparse mixture-of-experts language model with eight feedforward blocks in each layer.

  5. June 2025

    The Magistral reasoning model

    In June 2025, he co-authors Magistral, Mistral's first reasoning model, and its scalable reinforcement-learning pipeline.

  6. July 2026

    Robostral Navigate

    In July 2026, he co-authors Robostral Navigate, an 8B vision-language model that predicts navigation waypoints from monocular RGB images.

  7. As of October 2026

    AI scientist at Mistral

    As of October 2026, he is an AI Scientist at Mistral AI.

Career

  1. NowMistral AIAI Scientist
  2. 2019–2021Queen Mary University of London

Most-cited works

  1. Mistral 7B2023 · 322 citationsWith Alexandre Sablayrolles, Diego de las Casas and Teven Le Scao
  2. Mixtral of Experts2024 · 141 citationsWith Alexandre Sablayrolles, Antoine Roux, Diego de las Casas and Teven Le Scao
  3. Gym-µRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning2021 · IEEE Conference on Games (CoG) · 26 citations
  4. A Local Approach to Forward Model Learning: Results on the Game of Life Game2019 · IEEE Conference on Games (CoG) · 18 citationsWith Rudolf Kruse
  5. Griddly: A platform for AI research in games2021 · Software Impacts · 17 citations

Sources and credits

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  1. Griddly: A platform for AI research in games arxiv.org. Checked 19 October 2026.
  2. GriddlyJS: A Web IDE for Reinforcement Learning arxiv.org. Checked 19 October 2026.
  3. Mistral 7B arxiv.org. Checked 19 October 2026.
  4. mistralai/Mistral-7B-v0.1 huggingface.co. Checked 19 October 2026.
  5. Mixtral of Experts arxiv.org. Checked 19 October 2026.
  6. Magistral arxiv.org. Checked 19 October 2026.
  7. Robostral Navigate arxiv.org. Checked 19 October 2026.
  8. Bam4d (Chris Bamford) · GitHub github.com. Checked 19 October 2026.