What Dmitri Dolgov thinks about reinforcement learning

@dmitri-dolgov · 22 positions · On ppll ↗

Co-CEO of Waymo and a founding member of Google's self-driving car project, which he joined in 2009.

Dmitri Dolgov did not write this page.

We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.

Filter reinforcement learning · Newest first

Topic

All 22 self-driving cars 10 reinforcement learning 2 robotics 2 AI agents 1 benchmarks 1 LLMs 1 scaling laws 1 Silicon Valley 1

Sort

Newest Oldest

Only Dmitri Dolgov on reinforcement learning. See everyone on reinforcement learning

2 dated positions, 2026, in their own words. Our reading of what Dmitri Dolgov has said — not written or endorsed by them.

2 positions so far — this page is not yet offered to search engines.

3 Aug 2026

Our readingBuilding a realistic simulator is exactly as hard as building the agent, because the simulator is itself a large AI model.

Their wordsAnd the problem of building a good realistic simulator is just as hard as building the agent itself.

↗Waymo Co-CEO Dmitri Dolgov: The Demo Is Only 1% Of The Workyoutube.com 17th of 22 in this recording
3 Aug 2026

Our readingA physical AI company needs three AIs, not one — the agent, the simulator and the critic — turning deployment into a flywheel.

Their wordsSo, a deployment of your agent uh in the real world generates data. That data then grounds the simulator and makes it more realistic. The simulator generates harder edge cases for the critic to score and for the agent to learn from.

↗Waymo Co-CEO Dmitri Dolgov: The Demo Is Only 1% Of The Workyoutube.com 18th of 22 in this recording