“… very good RL controllers that are probably trained from motion imitation, and then fine-tuned with good RL that suits the robot's body… for the specific task of running really fast.”
Google DeepMind, Kirthana Gopalakrishnan · "The Cognitive Revolution" · One Brain, Any Body: Google DeepMind's Keerthana on Gemini Robotics 2, Cross-Embodiment & Humanoids
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What was described
Train humanoid locomotion controllers in simulation then fine-tune with reinforcement learning for fast running
Said nearby on the same subject
“We prioritized… a strong pre-training base… then amplified it with reinforcement learning at what we believe to be the largest scale… 10,000 GB-300 for four weeks run documented yet.”
ML
Misha Laskin ReflectionAI
No Priors: Artificial Intelligence | Technology | Startups ·
“We've got a state of the art reinforcement learning stack that allows us to run things at massive scale, inhale data at the optimal way, be able to kind of learn and…”