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JACIII
2006
97views more  JACIII 2006»
15 years 6 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»
15 years 6 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»
15 years 3 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
16 years 22 days 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 10 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