In the final stretch, Sri is helping us add a lightweight adaptation layer to make our agents contextually self-improving without any heavy retraining. This layer dynamically adjusts prompt weighting and memory based on critic feedback, allowing subtle behavioral adaptation between runs. It’s not full RL, but it adds a sense of self-awareness to the reasoning loop, where each iteration learns to refine its next response.
Waymo Agent
The next step in autonomous driving coordination
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