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» Learning Policies for Embodied Virtual Agents through Demons...
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AAAI
2008
13 years 7 months ago
Adaptive Importance Sampling with Automatic Model Selection in Value Function Approximation
Off-policy reinforcement learning is aimed at efficiently reusing data samples gathered in the past, which is an essential problem for physically grounded AI as experiments are us...
Hirotaka Hachiya, Takayuki Akiyama, Masashi Sugiya...
DAGM
2003
Springer
13 years 10 months ago
Learning Human-Like Opponent Behavior for Interactive Computer Games
Compared to their ancestors in the early 1970s, present day computer games are of incredible complexity and show magnificent graphical performance. However, in programming intelli...
Christian Bauckhage, Christian Thurau, Gerhard Sag...
IADIS
2004
13 years 6 months ago
ALPS: Bringing Active Inquiry into Active Problem Solving
The ALPS project (Active Learning in Problem Solving) is building and evaluating an educational technology that combines cognitive tutors with a novel interactive questioning envi...
Scott M. Stevens, Albert T. Corbett, Kenneth R. Ko...
AIIDE
2006
13 years 6 months ago
The NERO Video Game
In most modern video games, character behavior is scripted; no matter how many times the player exploits a weakness, that weakness is never repaired. Yet if game characters could ...
Kenneth O. Stanley, Igor Karpov, Risto Miikkulaine...