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ROBOCUP
2007
Springer
153views Robotics» more  ROBOCUP 2007»
14 years 12 days ago
Model-Based Reinforcement Learning in a Complex Domain
Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu
ATAL
2005
Springer
13 years 11 months ago
Controlling teams of uninhabited air vehicles
We describe a Multi-Agent System (MAS) for controlling teams of uninhabited air vehicles (UAVs) in the context of a larger system that has been used to evaluate potential concepts...
Jeremy W. Baxter, Graham S. Horn
CEC
2008
IEEE
13 years 8 months ago
Towards the evolution of an artificial homeostatic system
Abstract-- This paper presents an artificial homeostatic system (AHS) devoted to the autonomous navigation of mobile robots, with emphasis on neuro-endocrine interactions. The AHS ...
Renan C. Moioli, Patrícia Amâncio Var...
KR
2004
Springer
13 years 11 months ago
Advanced Research with Autonomous Unmanned Aerial Vehicles
Abstract The emerging area of intelligent unmanned aerial vehicle (UAV) research has shown rapid development in recent years and offers a great number of research challenges for ar...
Patrick Doherty
AAI
1998
112views more  AAI 1998»
13 years 6 months ago
The Robocup Physical Agent Challenge: Phase I
Traditional AI research has not given due attention to the important role that physical bodies play for agents as their interactions produce complex emergent behaviors to achieve ...
Minoru Asada, Peter Stone, Hiroaki Kitano, Barry B...