At this year’s Agentic AI Summit hosted by
@BerkeleyRDI, our Chief Scientist,
@Wei_ZHAN_ shared some of the cutting edge research he has been leading in the physical AI space.
As the industry races to deploy L2++ ADAS with imitation-learning-based E2E, Wei tackled a key question: what if end-to-end autonomy could be trained without imitation at all, relying only on reinforcement learning? An idea that runs against the current status quo.
Here are some of his insights
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