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» Managing Complexity in Large Learning Robotic Systems
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HICSS
2005
IEEE
95views Biometrics» more  HICSS 2005»
14 years 1 months ago
Understanding the Effect of Risk Aversion on Risk
As we progress, society must intelligently address the following question: How much risk is acceptable? How we answer this question could have important consequences for the futur...
U. S. Bhatt, David E. Newman, Benjamin A. Carreras...
AAAI
2010
13 years 9 months ago
Integrating Sample-Based Planning and Model-Based Reinforcement Learning
Recent advancements in model-based reinforcement learning have shown that the dynamics of many structured domains (e.g. DBNs) can be learned with tractable sample complexity, desp...
Thomas J. Walsh, Sergiu Goschin, Michael L. Littma...
ECTEL
2007
Springer
14 years 2 months ago
Creation of Lithuanian Digital Library of Educational Resources and Services: the Hypothesis, Contemporary Practice, and Future
Currently national digital library of educational resources and services (DLE) for primary and secondary education is under implementation in Lithuania. The article aims to analyse...
Eugenijus Kurilovas, Svetlana Kubilinskiene
GECCO
2007
Springer
143views Optimization» more  GECCO 2007»
14 years 2 months ago
Learning and exploiting knowledge in multi-agent task allocation problems
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...
Adam Campbell, Annie S. Wu
ICCS
2005
Springer
14 years 1 months ago
Managing Heterogeneity in a Grid Parallel Haskell
Computational Grids potentially offer cheap large-scale high-performance systems, but are a very challenging architecture, being heterogeneous, shared and hierarchical. Rather tha...
Abdallah Al Zain, Philip W. Trinder, Hans-Wolfgang...