A Biologically Constrained Cerebellar Model With Reinforcement Learning for Robotic Limb Control.
Rong LiuQi ZhangYaru ChenJiaxing WangLe YangPublished in: IEEE Access (2020)
Keyphrases
- cerebellar model
- reinforcement learning
- robot control
- robotic systems
- spiking neural networks
- robotic arm
- optimal control
- mobile robot
- control method
- machine learning
- real time
- control system
- action selection
- adaptive control
- autonomous robots
- learning algorithm
- temporal difference
- markov decision processes
- dynamic programming
- artificial intelligence
- biologically inspired
- function approximation
- particle swarm optimization
- state space
- action space
- support vector
- neural network