2 citations · 2 across the 1 of their papers we have counts for
2 papers
cs.LG2020
Fast Reinforcement Learning with Incremental Gaussian Mixture Models
Rafael Pinto
This work presents a novel algorithm that integrates a data-efficient function approximator with reinforcement learning in continuous state spaces. An online and incremental algori…
cs.LG2020★ 2 cited
Model-Free Episodic Control with State Aggregation
Rafael Pinto
Episodic control provides a highly sample-efficient method for reinforcement learning while enforcing high memory and computational requirements. This work proposes a simple heuris…