University of Illinois, Urbana-Champaign; Amazon, NYC
Philip Amortila, Nan Jiang, Dhruv Madeka, Dean Foster
Reinforcement learning;imitation learning;function approximation;sample efficiency;linear realizability
A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation