Safe exploration for reinforcement learning.
Alexander HansDaniel SchneegaßAnton Maximilian SchäferSteffen UdluftPublished in: ESANN (2008)
Keyphrases
- reinforcement learning
- active exploration
- exploration strategy
- action selection
- exploration exploitation
- model based reinforcement learning
- reinforcement learning algorithms
- function approximation
- exploration exploitation tradeoff
- autonomous learning
- learning algorithm
- neural network
- state space
- multi agent
- learning problems
- supervised learning
- temporal difference
- search algorithm
- temporal difference learning
- decision making
- databases
- robotic control
- machine learning
- unknown environments
- stochastic approximation
- control problems
- least squares
- search strategies