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CORR
2010
Springer
105views Education» more  CORR 2010»
14 years 8 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
IJHCI
2010
117views more  IJHCI 2010»
14 years 8 months ago
Avoiding Latent Design Conditions Using UI Discovery Tools
Motivation – Designers make decisions that later influence how users work with the systems that they have designed. When errors occur in use, it is tempting to focus on the acti...
Harold W. Thimbleby
INFOCOM
2010
IEEE
14 years 8 months ago
Practical Scheduling Algorithms for Concurrent Transmissions in Rate-adaptive Wireless Networks
—Optimal scheduling for concurrent transmissions in rate-nonadaptive wireless networks is NP-hard. Optimal scheduling in rate-adaptive wireless networks is even more difficult, ...
Zhe Yang, Lin Cai, Wu-sheng Lu
PODC
2010
ACM
15 years 1 months ago
The multiplicative power of consensus numbers
: The Borowsky-Gafni (BG) simulation algorithm is a powerful reduction algorithm that shows that t-resilience of decision tasks can be fully characterized in terms of wait-freedom....
Damien Imbs, Michel Raynal
IEAAIE
2009
Springer
15 years 4 months ago
A Virtual Human Agent Model with Behaviour Based on Feeling Exhaustion
A computational agent model for monitoring and control of a virtual human agent’s resources and exhaustion is presented. It models a physically grounded intelligent decision maki...
Jan Treur