Exploration in neo-Hebbian reinforcement learning: Computational approaches to the exploration-exploitation balance with bio-inspired neural networks.
Anthony TricheAnthony S. MaidaAshok KumarPublished in: Neural Networks (2022)
Keyphrases
- exploration exploitation
- bio inspired
- computational approaches
- reinforcement learning
- neural network
- hybrid intelligent systems
- artificial neural networks
- active learning
- modular neural networks
- learning rules
- computational methods
- bandit problems
- swarm intelligence
- state space
- biologically inspired
- protein sequences
- machine learning
- fuzzy logic
- relevance feedback
- protein protein interactions
- neural network model
- multiple features
- learning algorithm
- optimal policy
- computational tools
- genetic algorithm
- recurrent neural networks
- protein structure
- data mining
- supervised learning
- data sets
- learning process
- secondary structure
- evolutionary computation
- ant colony optimization
- computational complexity