From Crystallized Adaptivity to Fluid Adaptivity in Deep Reinforcement Learning - Insights from Biological Systems on Adaptive Flexibility.
Malte SchillingHelge J. RitterFrank W. OhlPublished in: CoRR (2019)
Keyphrases
- biological systems
- reinforcement learning
- adaptive learning
- complex systems
- biologically inspired
- artificial systems
- neural dynamics
- living systems
- systems biology
- biological processes
- learning algorithm
- biologically inspired design
- biological knowledge
- multi agent
- machine learning
- engineering problems
- computational models
- signal transduction
- complex biological systems