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ATAL
2009
Springer
13 years 12 months ago
Generalized model learning for reinforcement learning in factored domains
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Todd Hester, Peter Stone
ROBOCUP
2000
Springer
120views Robotics» more  ROBOCUP 2000»
13 years 8 months ago
Towards a Logical Approach for Soccer Agents Engineering
Building agents for a scenario such as the RoboCup simulation league requires not only methodologies for implementing high-level complex behavior, but also the careful and efficien...
Jan Murray, Oliver Obst, Frieder Stolzenburg
ATAL
2006
Springer
13 years 9 months ago
RPD-enabled agents teaming with humans for multi-context decision making
Team decision making under stress involving multiple contexts is an extremely challenging issue faced by various real world application domains. This research is targeted at coupl...
Xiaocong Fan, Bingjun Sun, Shuang Sun, Michael D. ...
ATAL
2005
Springer
13 years 10 months ago
Modeling complex multi-issue negotiations using utility graphs
This paper presents an agent strategy for complex bilateral negotiations over many issues with inter-dependent valuations. We use ideas inspired by graph theory and probabilistic ...
Valentin Robu, D. J. A. Somefun, Johannes A. La Po...
WOA
2000
13 years 6 months ago
An Agent-based Paradigm for Allocating Multi-Provider Service Demands
The increasing number of competitors and the growing traffic demand are the main factors pushing for a more dynamic and flexible service demand allocation mechanism. Human interac...
Monique Calisti, Boi Faltings