A Reinforcement Learning Approach for the Flexible Job Shop Scheduling Problem.
Yailen MartínezAnn NowéJuliett SuárezRafael BelloPublished in: LION (2011)
Keyphrases
- reinforcement learning
- multi objective
- function approximation
- state space
- model free
- optimal policy
- reinforcement learning algorithms
- markov decision processes
- learning process
- job shop scheduling
- optimal control
- temporal difference
- control problems
- multi agent
- reward function
- temporal difference learning
- robotic control
- machine learning
- dynamic programming
- evolutionary algorithm
- real world
- job shop scheduling problem
- scheduling problem
- hidden markov models
- learning environment
- robot control
- knowledge base
- learning agents
- learning algorithm
- transition model
- relational reinforcement learning
- direct policy search