Exemplar Generalization in Reinforcement Learning: Improving Performance with Fewer Exemplars.
Hiroyasu MatsushimaKiyohiko HattoriKeiki TakadamaPublished in: J. Adv. Comput. Intell. Intell. Informatics (2009)
Keyphrases
- reinforcement learning
- function approximation
- state space
- learning algorithm
- multi agent
- learning process
- optimal policy
- robot control
- control problems
- transition model
- reinforcement learning algorithms
- learning problems
- action selection
- temporal difference learning
- robotic control
- reinforcement learning methods
- policy search
- markov decision processes
- supervised learning
- semi supervised
- search algorithm
- training data
- e learning
- social networks
- artificial intelligence