1 citations · 1 across the 2 of their papers we have counts for
3 papers
Task Modifiers for HTN Planning and Acting
Weihang Yuan, Hector Munoz-Avila, Venkatsampath Raja Gogineni +3
The ability of an agent to change its objectives in response to unexpected events is desirable in dynamic environments. In order to provide this capability to hierarchical task net…
Hierarchical Reinforcement Learning for Deep Goal Reasoning: An Expressiveness Analysis
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. We sh…
A Layered Architecture for Active Perception: Image Classification using Deep Reinforcement Learning
Hossein K. Mousavi, Guangyi Liu, Weihang Yuan +3
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. A…