Transferability of Deep Q Agents in Reinforcement Learning

In this project, I explored the transferability of deep-q agents in reinforcement learning. The environments were selected on a loose notion of similarity (as I saw it), but mainly as these were some of the fastest to train so these experiments were plausible on my limited computational budget. A writeup of this project can be found here, and the code can be found here.