Csaba Szepesvari, University of Alberta
Associate Professor
Centre for Machine Learning
Computing Science
Edmonton, Alberta
szepesva@cs.ualberta.ca
Office:
(780) 492-8581
Expert In
Bio/Research
Traditional programming fails miserably when computers need to interact with the "real-world". Examples include a robot whose mission is to explore Mars or to clean up a room, an algorithm that needs to decide if a person should be given credit, or a chat-bot that should talk to humans in English...
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Bio/Research
Traditional programming fails miserably when computers need to interact with the "real-world". Examples include a robot whose mission is to explore Mars or to clean up a room, an algorithm that needs to decide if a person should be given credit, or a chat-bot that should talk to humans in English. Artificial intelligence is the science whose aim is to create computer programs that are able to cope with problems like these.
My research focuses on creating smart, efficient learning algorithms. I am working on developing better learning algorithms and understanding what makes efficient learning possible. I am particularly interested in problems when a machine continuously interacts with its environment while trying to discover autonomously a good way of interacting with it.
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My research focuses on creating smart, efficient learning algorithms. I am working on developing better learning algorithms and understanding what makes efficient learning possible. I am particularly interested in problems when a machine continuously interacts with its environment while trying to discover autonomously a good way of interacting with it.
Click to Shrink <<