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FLAIRS
2003
13 years 10 months ago
Learning from Reinforcement and Advice Using Composite Reward Functions
1 Reinforcement learning has become a widely used methodology for creating intelligent agents in a wide range of applications. However, its performance deteriorates in tasks with s...
Vinay N. Papudesi, Manfred Huber
PDPTA
2010
13 years 6 months ago
Distributed Mobile Computing: Development of Distributed Applications Using Mobile Agents
There exist distributed scenarios in which the need for dynamism, mobility, and adaptivity, has to be addressed with highly dynamical approaches. These scenarios present different ...
Carlos Bobed, Sergio Ilarri, Eduardo Mena
ECAI
2010
Springer
13 years 10 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
ATAL
2009
Springer
13 years 10 months ago
Efficient physics-based planning: sampling search via non-deterministic tactics and skills
Motion planning for mobile agents, such as robots, acting in the physical world is a challenging task, which traditionally concerns safe obstacle avoidance. We are interested in p...
Stefan Zickler, Manuela M. Veloso
CRV
2009
IEEE
115views Robotics» more  CRV 2009»
14 years 3 months ago
Learning Model Complexity in an Online Environment
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
Dan Levi, Shimon Ullman