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» Reinforcement Learning with Time
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CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 10 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
PERSUASIVE
2009
Springer
14 years 4 months ago
Designing games to motivate physical activity
Engagement with computer games causes children and adolescent users to spend a substantial amount of time at sedentary game playing activity. We hypothesise that this engagement c...
Shlomo Berkovsky, Dipak Bhandari, Stephen Kimani, ...
ISSS
2002
IEEE
138views Hardware» more  ISSS 2002»
14 years 3 months ago
An Object-Oriented Design Process for System-on-Chip Using UML
The object-oriented design process has been a hot topic in software development since it will improve product quality and productivity significantly, which is also a major issue i...
Tsuneo Nakata, Akio Matsuda, Minoru Shoji, Shinya ...
HASE
2002
IEEE
14 years 3 months ago
The Concept and Practice of Software Quality Assurance in Japan in the Global Era
The Japanese computer industry in 1990s was hit with two major shocks at the same time. One shock was the drastic reform of computers and of network. The other shock was from the ...
Katsuyuki Yasuda, Shigeru Yamada
AAAI
2008
14 years 18 days ago
Mathematical Modeling and Convergence Analysis of Trail Formation
An ant deposits pheromone along the path that it travels and is more likely to choose a path with a higher concentration of pheromone. The sensing and dropping of pheromone makes ...
Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chand...