Search
Skip to Search Results- 29Reinforcement learning
- 5Machine learning
- 3Artificial Intelligence
- 3Non-player character
- 2Adaptive switching
- 2Intelligent agents
- 2Cutumisu, Maria
- 1Al-Saffar, Mohammed
- 1Atrazhev, Peter
- 1Bastani, Meysam
- 1Bowling, Michael
- 1Carbonaro, Mike
- 24Graduate and Postdoctoral Studies (GPS), Faculty of
- 24Graduate and Postdoctoral Studies (GPS), Faculty of /Theses and Dissertations
- 3Computing Science, Department of
- 3Computing Science, Department of/Technical Reports (Computing Science)
- 1Electrical and Computer Engineering, Department of
- 1Electrical and Computer Engineering, Department of/Journal Articles (Electrical and Computer Engineering)
-
Fall 2017
The idea of an amputee playing the piano with all the flair and grace of an able-handed person may seem like a futuristic fantasy. While many prosthetic limbs look lifelike, finding one that also moves naturally has proved more of a challenge for both researchers and amputees. Even though...
-
Fall 2015
The control of powered prosthetic arms has been researched for over 50 years, yet prosthetic control remains an open problem, not just from a research perspective, but from a clinical perspective as well. Significant advances have been made in the manufacture of highly functional prosthetic...
-
Fall 2015
Understanding how an artificial agent may represent, acquire, update, and use large amounts of knowledge has long been an important research challenge in artificial intelligence. The quantity of knowledge, or knowing a lot, may be nicely thought of as making and updat- ing many predictions about...
-
Spring 2018
Facial expressions and other body language are important for human commu- nication. They complement speech and make the process of communication simple and sustainable. However, the process of communication using existing approaches to human-machine interaction is not intuitive as that of human...
-
Spring 2022
The repetitiveness and precision of manufacturing tasks has increased the need for robots in the automation of the manufacturing industry; however, the complex and varied nature of manufacturing production lines poses challenges in terms of applying the rule-based automation approach. This has...
-
Spring 2023
Process industries involve processes that have complex, interdependent, and sometimes uncontrollable/unobservable features that are subject to a variety of uncertainties such as operational fluctuations, sensory noises, process anomalies, human involvement, market volatility, and so forth. In the...
-
Spring 2023
The overall goal of this work was to design an intelligent method to reduce the cognitive and physical burdens associated with walking using lower-limb exoskeletons after paralysis. Lower-limb exoskeletons with many operating modes (i.e., walking patterns) can be challenging to work with....
-
Fall 2023
Language models are a fundamental component of natural language processing (NLP) systems. Numerous successful deployments of modern artificial intelligence systems are based on language models, including GPT-4 and ChatGPT. In practice, they are often trained with the teacher forcing objective,...
-
Fall 2021
An oft-ignored challenge of real-world reinforcement learning is that, unlike standard simulated environments, the real world does not pause when agents make learning updates. As standard simulated environments do not address this real-time aspect of learning, most available implementations of...