“His work focuses on machine learning for decision making and control, with an emphasis on deep learning and reinforcement learning algorithms.”In their own words: people.eecs.berkeley.edu
Associate Professor of EECS at UC Berkeley working on deep reinforcement learning, decision-making and robotics.
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Received $850k from 2 funders
’22
’23
’24
’25
Checked 25 Oct 2026
Money flows
Where their money came from and where it went. Pick years and what to show; hover a box or ribbon for details, click one to focus it, click the background to see everything.
Funded by
- FTX Future Fund$600k
- Science of Trustworthy AI$250k
All grants
2 grants totalling $850k, newest first.
2025 1 grant · $250k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| 2025 | Science of Trustworthy AI | ~$250k | Science of Trustworthy AI — Inference-Time Compute (2025 cohort): Project: Safety in RL-Enabled Goal-Directed Agents. Inference-time compute safety cohort; per-project amount undisclosed (RFP cap $500K). — Science of Trustworthy AI — Inference-Time Compute (2025 cohort) source |
2022 1 grant · $600k
| Date | Funder | Amount | Purpose |
|---|---|---|---|
| Jun 2022 | FTX Future Fund | $600k | Risks of deception and persuasion from LLMs with offline RL source |