A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation

Philip Amortila, Nan Jiang, Dhruv Madeka +1

The current paper studies sample-efficient Reinforcement Learning (RL) in settings where only the optimal value function is assumed to be linearly-realizable. It has recently been…