Task Modifiers for HTN Planning and Acting

1 code implementation • 9 Feb 2022 • Weihang Yuan, Hector Munoz-Avila, Venkatsampath Raja Gogineni, Sravya Kondrakunta, Michael Cox, Lifang He

The ability of an agent to change its objectives in response to unexpected events is desirable in dynamic environments.

Hierarchical Reinforcement Learning for Deep Goal Reasoning: An Expressiveness Analysis

no code implementations • 21 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 implementations • 20 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