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» Autonomous transfer for reinforcement learning
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AAAI
1998
14 years 11 months ago
Tree Based Discretization for Continuous State Space Reinforcement Learning
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
William T. B. Uther, Manuela M. Veloso
GLOBECOM
2008
IEEE
14 years 9 months ago
Autonomous Network Management Using Cooperative Learning for Network-Wide Load Balancing in Heterogeneous Networks
Traditional hop-by-hop dynamic routing makes inefficient use of network resources as it forwards packets along already congested shortest paths while uncongested longer paths may b...
Minsoo Lee, Xiaohui Ye, Dan Marconett, Samuel John...
ECAI
2008
Springer
14 years 11 months ago
Learning to Select Object Recognition Methods for Autonomous Mobile Robots
Selecting which algorithms should be used by a mobile robot computer vision system is a decision that is usually made a priori by the system developer, based on past experience and...
Reinaldo A. C. Bianchi, Arnau Ramisa, Ramon L&oacu...
ATAL
2009
Springer
15 years 4 months ago
Solving multiagent assignment Markov decision processes
We consider the setting of multiple collaborative agents trying to complete a set of tasks as assigned by a centralized controller. We propose a scalable method called“Assignmen...
Scott Proper, Prasad Tadepalli
IROS
2006
IEEE
147views Robotics» more  IROS 2006»
15 years 3 months ago
A Hybrid Control Architecture for Autonomous Robotic Fish
— This paper presents a hybrid control architecture for autonomous robotic fishes which are able to swim and navigate in unknown or dynamically changing environments. It has a t...
Jindong Liu, Huosheng Hu, Dongbing Gu