Improving Imitation Learning through Efficient Expert Querying

GHC 4405

Learning from demonstration is an intuitive approach to encoding complex behaviors in autonomous agents.  Learners have shown success in challenging tasks like autonomous driving, aerial obstacle avoidance, and information gathering, through observation and mimicry alone. State of the art algorithms like Dataset Aggregation (DAgger) have made significant advances over traditional behavior cloning, demonstrating strong theoretical [...]

Provably Optimal Design of a Brain-Computer Interface

NSH 1305

Abstract: Brain-computer interfaces are in the process of moving from the laboratory to the clinic. These devices act by reading neural activity and using it to directly control a device, such as a cursor on a computer screen. Over the past two decades, much attention has been devoted to the decoding problem: how should recorded [...]