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» Programmable Reinforcement Learning Agents
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KI
2002
Springer
13 years 8 months ago
Qualitative Velocity and Ball Interception
In many approaches for qualitative spatial reasoning, navigation of an agent in a more or less static environment is considered (e.g. in the double-cross calculus [12]). However, i...
Frieder Stolzenburg, Oliver Obst, Jan Murray
ATAL
2007
Springer
14 years 17 days ago
On Choosing an Efficient Service Selection Mechanism in Dynamic Environments
Consumers use service selection mechanisms to decide on a service provider to interact with. Although there are various service selection mechanisms, each mechanism has different s...
Murat Sensoy, Pinar Yolum
MABS
1998
Springer
14 years 23 days ago
ABCDE: Agent Based Chaotic Dynamic Emergence
This paper concerns agent based experiments in the field of negotiation and exchange simulation. A computer simulation environment is built, showing the emergence of chaotic price ...
Pietro Terna
ATAL
2008
Springer
13 years 10 months ago
On the usefulness of opponent modeling: the Kuhn Poker case study
The application of reinforcement learning algorithms to Partially Observable Stochastic Games (POSG) is challenging since each agent does not have access to the whole state inform...
Alessandro Lazaric, Mario Quaresimale, Marcello Re...
ATAL
2008
Springer
13 years 10 months ago
Adaptive Kanerva-based function approximation for multi-agent systems
In this paper, we show how adaptive prototype optimization can be used to improve the performance of function approximation based on Kanerva Coding when solving largescale instanc...
Cheng Wu, Waleed Meleis