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» Finding Structure in Reinforcement Learning
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CEEMAS
2005
Springer
15 years 3 months ago
Selection in Scale-Free Small World
Abstract. In this paper we compare our selection based learning algorithm with the reinforcement learning algorithm in Web crawlers. The task of the crawlers is to find new inform...
Zsolt Palotai, Csilla Farkas, András Lö...
ICML
2002
IEEE
15 years 10 months ago
Coordinated Reinforcement Learning
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
Carlos Guestrin, Michail G. Lagoudakis, Ronald Par...
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AAMAS
2002
Springer
14 years 9 months ago
Cooperative Learning Using Advice Exchange
Abstract. One of the main questions concerning learning in a Multi-Agent System's environment is: "(How) can agents benefit from mutual interaction during the learning pr...
Luís Nunes, Eugenio Oliveira
AAAI
2006
14 years 11 months ago
Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
Andrea Lockerd Thomaz, Cynthia Breazeal
ATAL
2008
Springer
14 years 11 months ago
Autonomous transfer for reinforcement learning
Recent work in transfer learning has succeeded in making reinforcement learning algorithms more efficient by incorporating knowledge from previous tasks. However, such methods typ...
Matthew E. Taylor, Gregory Kuhlmann, Peter Stone