Kevin Frans
@kvfrans
phd @berkeley_ai prev mit, reflection, openai
read my thoughts:
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Here's a fun one with @preston_fu et al -- how should we reward RL policies in a way that scales to longer and more difficult tasks? Our answer lies in-between RL and imitation learning, and provides a simple way to assign dense per-token credit to long trajectories.
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