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» Learning the required number of agents for complex tasks
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JUCS
2007
84views more  JUCS 2007»
13 years 7 months ago
Formal Representations of Learning Scenarios: A Methodology to Configure E-Learning Systems
: Nowadays, advanced E-Learning systems are generally pedagogy-aware. Commonly, these systems include facilities for defining so-called learning scenarios that reflect sophisticate...
Denis Helic
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
14 years 16 days ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
AIPS
2007
13 years 10 months ago
Context-Aware Logistic Routing and Scheduling
In context-aware route planning, agents have to plan their route on a common infrastructure in such a way that plans made by other agents are not invalidated, and no conflicts ar...
Adriaan ter Mors, Jonne Zutt, Cees Witteveen
FLAIRS
2008
13 years 10 months ago
Learning in the Lexical-Grammatical Interface
Children are facile at both discovering word boundaries and using those words to build higher-level structures in tandem. Current research treats lexical acquisition and grammar i...
Tom Armstrong, Tim Oates
AAAI
2008
13 years 10 months ago
Determining Possible and Necessary Winners under Common Voting Rules Given Partial Orders
Usually a voting rule requires agents to give their preferences as linear orders. However, in some cases it is impractical for an agent to give a linear order over all the alterna...
Lirong Xia, Vincent Conitzer