@svlevine: We can learn a model that provides shaped "process rewards" for robotic RL, that evolves automatically as the policy ge…

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Summary

This work presents a model that learns shaped 'process rewards' for robotic reinforcement learning, which evolves automatically as the policy improves, enhancing performance on benchmarks and in real-world settings.

We can learn a model that provides shaped "process rewards" for robotic RL, that evolves automatically as the policy gets better. This improves performance on benchmarks, and works in the real world! Some fun new work with Raymond Tsao & @ajwagenmaker https://t.co/nBYdXwBqbW
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We can learn a model that provides shaped “process rewards” for robotic RL, that evolves automatically as the policy gets better. This improves performance on benchmarks, and works in the real world! Some fun new work with Raymond Tsao & @ajwagenmaker https://t.co/nBYdXwBqbW

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