2020
Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning
ICLR 2020spotlight
While most approaches to the problem of Inverse Reinforcement Learning (IRL) focus on estimating a reward function that best explains an expert agent’s policy or demonstrated behavior on a control task, it is often the case that such behavior is more succinctly represented by a simple reward combine…