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Fuego-GB Prototype at the Human machine competition in Barcelona 2010: a Tournament Report and Analysis
Download2010
Technical report TR10-08. A Human vs Computer Go competition took place in Barcelona, Spain on July 20, 2010. This report provides a report and some analysis of the games played by FUEGO-GB PROTOTYPE in this event. The program played well in its 9 x 9 games with White, winning against...
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2010
Lin, Guohui, Shi, Xiaoyu, Hu, Yu, Zeng, Dahua, Zaiane, Osmar
Technical report TR10-04. This paper describes a novel and fast placement algorithm for field programmable gate array (FPGA) design space exploration. The proposed algorithm generates the placement based on the topological similarity between two configurations (netlists) in the design space....
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2002
Fortin, David, Antoniu, Angela, Sardarli, Arzu, Rezania, Vahid, Levner, Ilya, Bulitko, Vadim
Technical report TR02-14. The 2002 Quantum Computing Summer School (QCSS'02) at the University of Alberta was organized as a learning and discussion forum for researchers in Artificial Intelligence, Computer Science, Physics, Mathematics, and Engineering. The short-term objective was to introduce...
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2013
Valenzano, Richard, Müller, Martin, Xie, Fan
Most of the satisficing planners which are based on heuristic search iteratively improve their solution quality through an anytime approach. Typically, the lowest-cost solution found so far is used to constrain the search. This avoids areas of the state space which cannot directly lead to lower...
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Fall 2015
Brammadesam Manavalan, Yathirajan
Displaying believable emotional reactions in virtual characters is required in applications ranging from virtual-reality trainers to video games. Manual scripting is the most frequently used method and enables an arbitrarily high fidelity of the emotions displayed. However, scripting is labor...
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Spring 2016
Game theoretic solution concepts, such as Nash equilibrium strategies that are optimal against worst case opponents, provide guidance in finding desirable autonomous agent behaviour. In particular, we wish to approximate solutions to complex, dynamic tasks, such as negotiation or bidding in...
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Spring 2015
Computer-based interactive environments present a compelling platform for research in Artificial Intelligence. Using games as its domains, this work has traditionally focused on building AI agents that can play games well (e.g., Checkers, Go, or StarCraft). In more recent years, a parallel line...
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Fall 2016
The field of biomedicine is reeling from “information overload”. Indeed, biomedical researchers find it almost impossible to stay current with published literature due to the vast amounts of data being generated and published. As a result, they are turning to text mining. Over the past two...
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Spring 2020
Reinforcement learning (RL) is a powerful learning paradigm in which agents can learn to maximize sparse and delayed reward signals. Although RL has had many impressive successes in complex domains, learning can take hours, days, or even years of training data. A major challenge of contemporary...