Cooperative Inverse Reinforcement Learning
Dylan Hadfield-Menell formalizes a game-theoretic architecture where human and robot agents cooperate to maximize a reward function known only to the human. Part of the 26 Structural Foundations: How We Teach Machines to Understand Purpose… Read More »Cooperative Inverse Reinforcement Learning