research
∙
03/26/2020
Robust Classification of High-Dimensional Spectroscopy Data Using Deep Learning and Data Synthesis
This paper presents a new approach to classification of high dimensional...
share
research
∙
09/14/2018
A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support
Autonomous robotics and artificial intelligence techniques can be used t...
research
∙
08/31/2018
Using a Game Engine to Simulate Critical Incidents and Data Collection by Autonomous Drones
Using a game engine, we have developed a virtual environment which model...
research
∙
06/20/2018
Skilled Experience Catalogue: A Skill-Balancing Mechanism for Non-Player Characters using Reinforcement Learning
In this paper, we introduce a skill-balancing mechanism for adversarial ...
research
∙
06/14/2018
Adaptive Shooting for Bots in First Person Shooter Games Using Reinforcement Learning
In current state-of-the-art commercial first person shooter games, compu...
research
∙
06/14/2018
Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data
Multi-class classification algorithms are very widely used, but we argue...
research
∙
06/13/2018
Learning to Shoot in First Person Shooter Games by Stabilizing Actions and Clustering Rewards for Reinforcement Learning
While reinforcement learning (RL) has been applied to turn-based board g...
research
∙
06/13/2018
DRE-Bot: A Hierarchical First Person Shooter Bot Using Multiple Sarsa(λ) Reinforcement Learners
This paper describes an architecture for controlling non-player characte...
research
∙
06/12/2018
A Virtual Environment with Multi-Robot Navigation, Analytics, and Decision Support for Critical Incident Investigation
Accidents and attacks that involve chemical, biological, radiological/nu...
research
∙
11/30/2013
