Multi-Fidelity Reinforcement Learning with Gaussian Processes

Varun Suryan, Nahush Gondhalekar, Pratap Tokekar

We study the problem of Reinforcement Learning (RL) using as few real-world samples as possible. A naive application of RL can be inefficient in large and continuous state spaces.…