19 citations · 29 across the 10 of their papers we have counts for
3 papers · 1 filter
Value Function Approximations via Kernel Embeddings for No-Regret Reinforcement Learning
Sayak Ray Chowdhury, Rafael Oliveira
We consider the regret minimization problem in reinforcement learning (RL) in the episodic setting. In many real-world RL environments, the state and action spaces are continuous o…
Sparse Spectrum Warped Input Measures for Nonstationary Kernel Learning
Anthony Tompkins, Rafael Oliveira, Fabio Ramos
We establish a general form of explicit, input-dependent, measure-valued warpings for learning nonstationary kernels. While stationary kernels are ubiquitous and simple to use, the…
DISCO: Double Likelihood-free Inference Stochastic Control
Lucas Barcelos, Rafael Oliveira, Rafael Possas +2
Accurate simulation of complex physical systems enables the development, testing, and certification of control strategies before they are deployed into the real systems. As simulat…