Now showing items 1-10 of 72
Teaching robots about human environments: Leveraging human interaction to efficiently learn and use multisensory object affordances
(Georgia Institute of Technology, 2018-01-09)
The real world is complex, unstructured, and contains high levels of uncertainty. Although past work shows that robots can successfully operate in situations where a single skill is needed, they will need a framework that ...
Construction and adaptation of AI behaviors in computer games
(Georgia Institute of Technology, 2011-08-19)
Computer games are an increasingly popular application for Artiﬁcial Intelligence (AI) research, and conversely AI is an increasingly popular selling point for commercial digital games. AI for non playing characters (NPC) ...
(Georgia Institute of Technology, 2013-11-18)
Humans are experts at understanding what they see. Similarity and analogy play a significant role in making sense of the visual world by forming analogies to similar images encountered previously. Yet, while these acts ...
Troubleshooting physical devices : learning and instruction
(Georgia Institute of Technology, 1990)
The role of experience in natural problem solving
(Georgia Institute of Technology, 1986)
Deterministically initialized localized learning networks
(Georgia Institute of Technology, 1991)
Novel document representations based on labels and sequential information
(Georgia Institute of Technology, 2015-07-23)
A wide variety of text analysis applications are based on statistical machine learning techniques. The success of those applications is critically affected by how we represent a document. Learning an efficient document ...
A computational framework for unsupervised analysis of everyday human activities
(Georgia Institute of Technology, 2008-07-07)
In order to make computers proactive and assistive, we must enable them to perceive, learn, and predict what is happening in their surroundings. This presents us with the challenge of formalizing computational models of ...
Manipulating state space distributions for sample-efficient imitation-learning
(Georgia Institute of Technology, 2020-03-16)
Imitation learning has emerged as one of the most effective approaches to train agents to act intelligently in unstructured and unknown domains. On its own or in combination with reinforcement learning, it enables agents ...
Evaluation of Modern Tools for an OMSCS Advisor Chatbot
(Georgia Institute of Technology, 2017-08)
This paper is a survey of modern chatbot platforms, Natural Language Processing tools, and their application and design. A chatbot is proposed for the GA Tech. OMSCS program to answer prospective students questions immediately ...