Spiking Neural Network Discovers Energy-Efficient Hexapod Motion in Deep Reinforcement Learning.
Katsumi NayaKyo KutsuzawaDai OwakiMitsuhiro HayashibePublished in: IEEE Access (2021)
Keyphrases
- energy efficient
- reinforcement learning
- wireless sensor networks
- spiking neural networks
- energy consumption
- biologically inspired
- sensor networks
- parallel manipulator
- image sequences
- base station
- human motion
- function approximation
- energy efficiency
- learning algorithm
- visual perception
- cerebellar model
- liquid state machine
- routing protocol
- feed forward
- humanoid robot
- sensor nodes
- receptive fields
- biologically plausible
- machine learning
- neural network
- routing algorithm
- space time
- data transmission
- control system
- learning rules
- expert systems
- multi agent
- data sets