Adam Gleave
As of October 2026, Adam Gleave is co-founder and CEO of FAR.AI, an AI safety research institute. In 2020, a paper he co-wrote, Adversarial Policies: Attacking Deep Reinforcement Learning, appeared at ICLR.He completed his PhD dissertation, Towards Trustworthy Machine Learning, at UC Berkeley in December 2022. A 2023 paper he co-wrote, Adversarial Policies Beat Superhuman Go AIs, appeared in the Proceedings of the 40th International Conference on Machine Learning. In 2025 Schmidt Sciences named him an AI2050 Early Career Fellow, and an ICML 2026 paper he co-authored received an Outstanding Paper Honorable Mention.
Timeline
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2020
Adversarial policies for RL agents
A paper he co-writes, Adversarial Policies: Attacking Deep Reinforcement Learning, appears at ICLR 2020.
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December 2022
Towards trustworthy machine learning
At UC Berkeley, he completes his PhD dissertation, Towards Trustworthy Machine Learning, in December 2022.
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2023
Attacking superhuman Go AIs
Adversarial Policies Beat Superhuman Go AIs, which he co-writes, is published in 2023 in the Proceedings of the 40th International Conference on Machine Learning.
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2025
An AI2050 early career fellowship
Schmidt Sciences names him a 2025 AI2050 Early Career Fellow.
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2026
An outstanding paper honorable mention
The Obfuscation Atlas, which he co-authors, receives an Outstanding Paper Honorable Mention at ICML 2026.
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As of October 2026
Co-founder and CEO of FAR.AI
He is co-founder and CEO of FAR.AI, an AI safety research institute, and he serves on the board of the Safe AI Forum.
Sources and credits
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