activity
20182021
most citedGenerating Rescheduling Knowledge using Reinforcement Learning in a Cognitive Architecture

3 citations · 4 across the 5 of their papers we have counts for

collaborators
Showing 2019Show all

1 paper · 1 filter

cs.LG2019

A Hierarchical Two-tier Approach to Hyper-parameter Optimization in Reinforcement Learning

Juan Cruz Barsce, Jorge A. Palombarini, Ernesto Martínez

Optimization of hyper-parameters in reinforcement learning (RL) algorithms is a key task, because they determine how the agent will learn its policy by interacting with its environ…