Dealing with continuous-state reinforcement learning for intelligent control of traffic signals.
Milton Roberto HeinenAna L. C. BazzanPaulo Martins EngelPublished in: ITSC (2011)
Keyphrases
- continuous state
- intelligent control
- reinforcement learning
- traffic light
- traffic signal
- control system
- control policy
- control policies
- process control
- traffic control
- fuzzy logic
- action space
- robot navigation
- finite state
- function approximation
- state space
- state dependent
- fuzzy logic controller
- multi agent
- action selection
- markov decision processes
- machine learning
- real time
- neuro fuzzy
- partially observable markov decision processes
- state action
- planning problems
- control algorithm
- dynamic programming
- closed loop
- rule base
- markov decision process
- partially observable
- control strategy
- control scheme