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JACIII
2006
97views more  JACIII 2006»
14 years 11 months ago
Opposition-Based Reinforcement Learning
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
Hamid R. Tizhoosh
TIT
2008
100views more  TIT 2008»
14 years 11 months ago
Communication Via Decentralized Processing
Abstract-- The common problem of a nomadic terminal sending information to a remote destination via agents with lossless connections is investigated. Such a setting suits, e.g. acc...
Amichai Sanderovich, Shlomo Shamai, Yossef Steinbe...
IGPL
2010
117views more  IGPL 2010»
14 years 8 months ago
Executable specification of open multi-agent systems
Multi-agent systems where the agents are developed by parties with competing interests, and where there is no access to an agent's internal state, are often classified as `ope...
Alexander Artikis, Marek J. Sergot
LPNMR
2009
Springer
15 years 5 months ago
Application of ASP for Automatic Synthesis of Flexible Multiprocessor Systems from Parallel Programs
Configurable on chip multiprocessor systems combine advantages of task-level parallelism and the flexibility of field-programmable devices to customize architectures for paralle...
Harold Ishebabi, Philipp Mahr, Christophe Bobda, M...
ICML
1989
IEEE
15 years 3 months ago
Uncertainty Based Selection of Learning Experiences
The training experiences needed by a learning system may be selected by either an external agent or the system itself. We show that knowledge of the current state of the learner&#...
Paul D. Scott, Shaul Markovitch