Search Results for author: Héctor Muñoz-Avila

Found 3 papers, 0 papers with code

Hierarchical Reinforcement Learning for Deep Goal Reasoning: An Expressiveness Analysis

no code implementations21 Jun 2020 Weihang Yuan, Héctor Muñoz-Avila

Hierarchical DQN (h-DQN) is a two-level architecture of feedforward neural networks where the meta level selects goals and the lower level takes actions to achieve the goals.

Hierarchical Reinforcement Learning reinforcement-learning

A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning

no code implementations20 Sep 2019 Hossein K. Mousavi, Guangyi Liu, Weihang Yuan, Martin Takáč, Héctor Muñoz-Avila, Nader Motee

We propose a planning and perception mechanism for a robot (agent), that can only observe the underlying environment partially, in order to solve an image classification problem.

General Classification Image Classification +1

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