536 citations · 2k across the 52 of their papers we have counts for
4 papers · 2 filters
Explore, Exploit or Listen: Combining Human Feedback and Policy Model to Speed up Deep Reinforcement Learning in 3D Worlds
Zhiyu Lin, Brent Harrison, Aaron Keech +1
We describe a method to use discrete human feedback to enhance the performance of deep learning agents in virtual three-dimensional environments by extending deep-reinforcement lea…
Guiding Reinforcement Learning Exploration Using Natural Language
Brent Harrison, Upol Ehsan, Mark O. Riedl
In this work we present a technique to use natural language to help reinforcement learning generalize to unseen environments. This technique uses neural machine translation, specif…
Enter the Matrix: Safely Interruptible Autonomous Systems via Virtualization
Mark O. Riedl, Brent Harrison
Autonomous systems that operate around humans will likely always rely on kill switches that stop their execution and allow them to be remote-controlled for the safety of humans or…
Rationalization: A Neural Machine Translation Approach to Generating Natural Language Explanations
Upol Ehsan, Brent Harrison, Larry Chan +1
We introduce AI rationalization, an approach for generating explanations of autonomous system behavior as if a human had performed the behavior. We describe a rationalization techn…