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AI
1998
Springer
13 years 7 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
TSE
1998
116views more  TSE 1998»
13 years 7 months ago
A Framework-Based Approach to the Development of Network-Aware Applications
— Modern networks provide a QoS (quality of service) model to go beyond best-effort services, but current QoS models are oriented towards low-level network parameters (e.g., band...
Jürg Bolliger, Thomas R. Gross
SAC
2008
ACM
13 years 6 months ago
Towards a model-driven engineering approach for developing embedded hard real-time software
Model-Driven Engineering (MDE) has been advocated as an effective way to deal with today's software complexity. MDE can be seen as an integrative approach combining existing ...
Fabiano Cruz, Raimundo S. Barreto, Lucas Cordeiro
SCFBM
2008
107views more  SCFBM 2008»
13 years 6 months ago
Microbial Diagnostic Array Workstation (MDAW): a web server for diagnostic array data storage, sharing and analysis
Background: Microarrays are becoming a very popular tool for microbial detection and diagnostics. Although these diagnostic arrays are much simpler when compared to the traditiona...
Joy Scaria, Aswathy Sreedharan, Yung-Fu Chang
CORR
2010
Springer
156views Education» more  CORR 2010»
13 years 6 months ago
Imitation learning of motor primitives and language bootstrapping in robots
Abstract— Imitation learning in robots, also called programing by demonstration, has made important advances in recent years, allowing humans to teach context dependant motor ski...
Thomas Cederborg, Pierre-Yves Oudeyer