Accelerated Online Reinforcement Learning using Auxiliary Start State Distributions

Aman Mehra, Alexandre Capone, Jeff Schneider

A long-standing problem in online reinforcement learning (RL) is of ensuring sample efficiency, which stems from an inability to explore environments efficiently. Most attempts at…