Chris R. Serrano

Introspection Learning

2019 · arXiv (Cornell University)

Traditional reinforcement learning agents learn from experience, past or present, gained through interaction with their environment. Our approach synthesizes experience, without requiring an agent to interact with their environment, by asking the policy directly "Are …