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.
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.
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.