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The idea behind significantly improving the performance on hard real-world tasks is to train a value function, condition the model on advantages computed from the value function, and running an iterative improvement loop where the model learns from it’s own data.

The idea behind significantly improving the performance on hard real-world tasks is to train a value function, condition the model on advantages computed from the value function, and running an iterative improvement loop where the model learns from it’s own data.

Research Scientist @physical_int. Formerly Google DeepMind

avatar for Danny Driess
Danny Driess
Tue Nov 18 00:22:42
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