Evolved Policy Gradients

OpenAI Blog · 8 years ago

Researchers released Evolved Policy Gradients, a method that automatically designs loss functions for training agents rather than using hand-crafted ones. Agents trained with EPG generalized to novel spatial navigation tasks, such as finding objects on opposite sides of rooms from their training experience. This approach enables faster learning on new tasks without requiring manual redesign of training objectives for each new problem.