Reasoning about Counterfactuals to Improve Human Inverse Reinforcement Learning
Michael S. Lee,Henny Admoni,Reid Simmons,Michael S. Lee,Henny Admoni,Reid Simmons
To collaborate well with robots, we must be able to understand their decision making. Humans naturally infer other agents' beliefs and desires by reasoning about their observable behavior in a way that resembles inverse reinforcement learning (IRL). Thus, robots can convey their beliefs and desires by providing demonstrations that are informative for a human learner's IRL. An informative demonstra...
