Reinforcement learning with spiking coagents.
Sneha AenuguAbhishek SharmaSasikiran YelamarthiHananel HazanPhilip S. ThomasRobert KozmaPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- basal ganglia
- action selection
- function approximation
- bio inspired
- feed forward
- single neuron
- robotic control
- neuron model
- stochastic approximation
- reinforcement learning algorithms
- state space
- learning problems
- transfer learning
- optimal policy
- function approximators
- multi agent
- learning algorithm
- dynamic programming
- spiking neural networks
- spiking neurons
- data mining
- temporal difference
- learning capabilities
- artificial neural networks
- real time