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ATAL
2006
Springer
15 years 10 months ago
Rule value reinforcement learning for cognitive agents
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
Christopher Child, Kostas Stathis
IAT
2009
IEEE
15 years 10 months ago
Developing a Deterministic Patrolling Strategy for Security Agents
Abstract—Developing autonomous systems that patrol environments for detecting intruders is a topic of increasing relevance in security applications. An important aspect of these ...
Nicola Basilico, Nicola Gatti, Francesco Amigoni
FLAIRS
2007
15 years 9 months ago
A Generalizing Spatial Representation for Robot Navigation with Reinforcement Learning
In robot navigation tasks, the representation of the surrounding world plays an important role, especially in reinforcement learning approaches. This work presents a qualitative r...
Lutz Frommberger
ATAL
2008
Springer
15 years 8 months ago
Combining Job and Team Selection Heuristics
In open markets and within business and government organizations, selfish agents often face the question of what tasks to work on, and what partners to work with. Optimal solutions...
Chris L. D. Jones, K. Suzanne Barber
CEC
2008
IEEE
15 years 8 months ago
Investigation of simply coded evolutionary artificial neural networks on robot control problems
One of the advantages of evolutionary robotics over other approaches in embodied cognitive science would be its parallel population search. Due to the population search, it takes a...
Yoshiaki Katada, Jun Nakazawa