State Space Decomposition and Subgoal Creation for Transfer in Deep Reinforcement Learning

Himanshu Sahni, Saurabh Kumar, Farhan Tejani +2

Typical reinforcement learning (RL) agents learn to complete tasks specified by reward functions tailored to their domain. As such, the policies they learn do not generalize even t…