Distributed Model-Free Stochastic Optimization in Wireless Sensor Networks.
Daniel YaganChen-Khong ThamPublished in: DCOSS (2006)
Keyphrases
- stochastic optimization
- model free
- wireless sensor networks
- reinforcement learning
- multistage
- reinforcement learning algorithms
- function approximation
- policy iteration
- temporal difference
- sensor networks
- multi agent
- policy evaluation
- cooperative
- genetic algorithm
- text categorization
- multi label
- monte carlo
- model selection
- least squares
- multi agent systems
- support vector
- learning algorithm