Can Deep Reinforcement Learning Solve Erdos-Selfridge-Spencer Games?

ICML, 2018.

Cited by: 11|Bibtex|Views79|Links
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Abstract:

Deep reinforcement learning has achieved many recent successes, but our understanding of its strengths and limitations is hampered by the lack of rich environments in which we can fully characterize optimal behavior, and correspondingly diagnose individual actions against such a characterization. Here we consider a family of combinatorial...More

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