“My research focuses on problems at the intersection of machine learning and sequential decision-making, with the goal of improving the decision-making capabilities of foundation models.”In their own words: xkianteb.github.io
Assistant Professor of Computer Science at Harvard, working on reinforcement learning, imitation learning and natural language processing to improve the decision-making capabilities of foundation models.
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Received $748k from 1 funder
Checked 25 Oct 2026
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Funded by
- Coefficient Giving$748k
All grants
1 grant totalling $748k, newest first.
2025 1 grant · $748k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Dec 2025 | Coefficient Giving | $748k | Model Organisms of Reward Hacking (Kianté Brantley and Shi Feng) source |