most citedAgent-Agnostic Human-in-the-Loop Reinforcement Learning

22 citations · 23 across the 2 of their papers we have counts for

collaborators

2 papers

cs.AI2019★ 1 cited

Sensory Optimization: Neural Networks as a Model for Understanding and Creating Art

Owain Evans

This article is about the cognitive science of visual art. Artists create physical artifacts (such as sculptures or paintings) which depict people, objects, and events. These depic…

cs.LG2017★ 22 cited

Agent-Agnostic Human-in-the-Loop Reinforcement Learning

David Abel, John Salvatier, Andreas Stuhlmüller +1

Providing Reinforcement Learning agents with expert advice can dramatically improve various aspects of learning. Prior work has developed teaching protocols that enable agents to l…