Transfer learning is the task of transferring knowledge from one source to another. In this case,
we compare our algorithm to policy distillation, which involves training a teacher DQN in an
environment. This teacher is then used to produce a dataset of states and their associated
Q-values according to the target network and distill this knowledge to the target agent.

Project Report

Spring 2022
Physical Science/Engineering