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» Using model knowledge for learning inverse dynamics
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ICS
2010
Tsinghua U.
16 years 26 days ago
Circumventing the Price of Anarchy: Leading Dynamics to Good Behavior
: Many natural games can have a dramatic difference between the quality of their best and worst Nash equilibria, even in pure strategies. Yet, nearly all work to date on dynamics s...
Maria-Florina Balcan, Avrim Blum, Yishay Mansour
129
Voted
IJCNN
2000
IEEE
15 years 7 months ago
PD Control of Robot with RBF Networks Compensation
In this paper the popular PD controller of robot manipulator is modified. RBF neural networks are used to compensate the gravity and fi-iction. No exact knowledge of the robot dyn...
Wen Yu, José Antonio Heredia
176
Voted
AIIDE
2009
15 years 4 months ago
Examining Extended Dynamic Scripting in a Tactical Game Framework
Dynamic scripting is a reinforcement learning algorithm designed specifically to learn appropriate tactics for an agent in a modern computer game, such as Neverwinter Nights. This...
Jeremy Ludwig, Arthur Farley
131
Voted
GECCO
2010
Springer
187views Optimization» more  GECCO 2010»
15 years 6 months ago
Evolving agent behavior in multiobjective domains using fitness-based shaping
Multiobjective evolutionary algorithms have long been applied to engineering problems. Lately they have also been used to evolve behaviors for intelligent agents. In such applicat...
Jacob Schrum, Risto Miikkulainen
115
Voted
AAAI
1996
15 years 4 months ago
Post-Analysis of Learned Rules
Rule induction research implicitly assumes that after producing the rules from a dataset, these rules will be used directly by an expert system or a human user. In real-life appli...
Bing Liu, Wynne Hsu