Student/Teacher Advising through Reward Augmentation

no code implementations • 7 Feb 2020 • Cameron Reid

Transfer learning is an important new subfield of multiagent reinforcement learning that aims to help an agent learn about a problem by using knowledge that it has gained solving another problem, or by using knowledge that is communicated to it by an agent who already knows the problem.

General Reinforcement Learning reinforcement-learning +2