Jointly learning rewards and policies: an iterative Inverse Reinforcement Learning framework with…
A novel tractable and interpretable algorithm to learn from expert demonstrations Hussein Fellahi · Follow Published in Towards Data Science · 12 min read · 11 hours ago — Photo by Andrea De Santis on Unsplash Introduction Imitation Learning has recently gained increasing attention in the Machine Learning community, as it enables the transfer of expert knowledge to autonomous agents through observed behaviors. A first category of algorithm is Behavioral Cloning (BC), which aims to