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» Learning the required number of agents for complex tasks
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JUCS
2007
84views more  JUCS 2007»
15 years 6 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»
15 years 10 months 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
15 years 8 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
15 years 8 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
15 years 8 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