Reinforcement learning in a nutshell.
Verena Heidrich-MeisnerMartin LauerChristian IgelMartin A. RiedmillerPublished in: ESANN (2007)
Keyphrases
- reinforcement learning
- function approximation
- reinforcement learning algorithms
- state space
- temporal difference
- markov decision processes
- optimal policy
- function approximators
- action selection
- temporal difference learning
- reinforcement learning methods
- transition model
- fitted q iteration
- robot control
- perceptual aliasing
- robotic control
- direct policy search
- machine learning
- learning classifier systems
- learning problems
- transfer learning
- sufficient conditions
- semi supervised
- dynamic programming
- active learning
- learning process
- multi agent systems
- support vector
- multi agent
- multiscale
- case study