Value Function Decomposition for Iterative Design of Reinforcement Learning Agents

James MacGlashan, Evan Archer, Alisa Devlic +4

Designing reinforcement learning (RL) agents is typically a difficult process that requires numerous design iterations. Learning can fail for a multitude of reasons, and standard R…