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» Universal Reinforcement Learning
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142
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ATAL
2007
Springer
15 years 10 months ago
Multiagent reinforcement learning and self-organization in a network of agents
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
Sherief Abdallah, Victor R. Lesser
142
Voted
ATAL
2008
Springer
15 years 5 months ago
Transfer of task representation in reinforcement learning using policy-based proto-value functions
Reinforcement Learning research is traditionally devoted to solve single-task problems. Therefore, anytime a new task is faced, learning must be restarted from scratch. Recently, ...
Eliseo Ferrante, Alessandro Lazaric, Marcello Rest...

Publication
240views
14 years 2 months ago
Bayesian multitask inverse reinforcement learning
We generalise the problem of inverse reinforcement learning to multiple tasks, from multiple demonstrations. Each one may represent one expert trying to solve a different task, or ...
Christos Dimitrakakis, Constantin A. Rothkopf
139
Voted
IJEB
2007
127views more  IJEB 2007»
15 years 3 months ago
Factors mediating the routinisation of e-learning within a traditional university education environment
Technology-enhanced or Computer Aided Learning (e-learning) can be institutionally integrated and supported by learning management systems or Virtual Learning Environments (VLEs) ...
Shafqat Hameed, John Mellor, Atta Badii, Niyati Pa...
ICCSA
2007
Springer
15 years 10 months ago
An Automatic Correction Tool for Relational Algebra Queries
Abstract. Relational algebra is one of the main topics covered in undergraduate computer science database courses. In this paper, we present a web-based tool designed to automatica...
Josep Soler, Imma Boada, Ferran Prados, Jordi Poch...