LEARNING
Learning optimal robotic tasks
Pedro U. Lima, G.N. Saridis
- Year
- 1996
- Citations
- 4
Abstract
A reinforcement learning system for machine-intelligence robots introduces a performance measure that balances an algorithm's reliability and computational cost. The system uses this measure to learn the best among a set of alternative tasks capable of executing a command communicated to the intelligent machine.
Keywords
Reinforcement learningComputer scienceMeasure (data warehouse)Reliability (semiconductor)Set (abstract data type)Artificial intelligenceRobotMachine learningHyper-heuristicRobot learning
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