Simplifying Reward Design through Divide-and-Conquer

7 Jun 2018Ellis RatnerDylan Hadfield-MenellAnca D. Dragan

Designing a good reward function is essential to robot planning and reinforcement learning, but it can also be challenging and frustrating. The reward needs to work across multiple different environments, and that often requires many iterations of tuning... (read more)

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