Controlling biological neural networks with deep reinforcement learning.
Jan WülfingSreedhar S. KumarJoschka BoedeckerMartin A. RiedmillerUlrich EgertPublished in: ESANN (2018)
Keyphrases
- neural network
- reinforcement learning
- pattern recognition
- genetic algorithm
- function approximators
- artificial neural networks
- function approximation
- learning algorithm
- learning classifier systems
- molecular biology
- fuzzy logic
- biological data
- markov decision processes
- back propagation
- state space
- activation function
- reinforcement learning algorithms
- optimal control
- network architecture
- learning capabilities
- robotic control
- machine learning
- fault diagnosis
- supervised learning
- neural nets
- learning problems
- optimal policy
- model free
- data analysis
- systems biology
- multi agent reinforcement learning
- evolutionary learning
- temporal difference learning
- robot control
- learning process
- temporal difference
- biologically inspired
- biological systems
- neural network model
- fuzzy systems