An empirical investigation of the challenges of real-world reinforcement learning

Gabriel Dulac-Arnold, Nir Levine, Daniel J. Mankowitz +4

Reinforcement learning (RL) has proven its worth in a series of artificial domains, and is beginning to show some successes in real-world scenarios. However, much of the research a…