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» Using Learning in a Control Agent
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104
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NIPS
2007
15 years 4 months ago
Receding Horizon Differential Dynamic Programming
The control of high-dimensional, continuous, non-linear dynamical systems is a key problem in reinforcement learning and control. Local, trajectory-based methods, using techniques...
Yuval Tassa, Tom Erez, William D. Smart
122
Voted
ATAL
2009
Springer
15 years 9 months ago
Adversarial search with procedural knowledge heuristic
We introduce an adversarial planning algorithm based on game tree search, which is applicable in large-scale multiplayer domains. In order to tackle the scalability issues of game...
Viliam Lisý, Branislav Bosanský, Mic...
117
Voted
CDC
2008
IEEE
129views Control Systems» more  CDC 2008»
15 years 9 months ago
Distributed subgradient methods and quantization effects
Abstract— We consider a convex unconstrained optimization problem that arises in a network of agents whose goal is to cooperatively optimize the sum of the individual agent objec...
Angelia Nedic, Alexander Olshevsky, Asuman E. Ozda...
146
Voted
ECAI
2010
Springer
15 years 3 months ago
On the Verification of Very Expressive Temporal Properties of Non-terminating Golog Programs
Abstract. The agent programming language GOLOG and the underlying Situation Calculus have become popular means for the modelling and control of autonomous agents such as mobile rob...
Jens Claßen, Gerhard Lakemeyer
HICSS
2003
IEEE
106views Biometrics» more  HICSS 2003»
15 years 8 months ago
Is web-based seminar an effective way of learning in adult education?
The Internet can be used to solve pedagogical problems. To give an example, seminars for crowded courses exceeding a hundred participants would not be possible without web-based a...
Pekka Makkonen