Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics.
Krishan RanaVibhavari DasagiJesse HavilandBen TalbotMichael MilfordNiko SünderhaufPublished in: CoRR (2021)
Keyphrases
- reinforcement learning
- optimal control
- control system
- robot control
- control policy
- belief nets
- adaptive control
- control problems
- control theory
- control strategy
- control method
- control strategies
- perception action
- robotic systems
- control architecture
- industrial robots
- motion control
- impedance control
- artificial intelligence
- disturbance rejection
- inverted pendulum
- computer vision
- closed loop
- feedback control
- controller design
- robotic manipulator
- real time
- model free
- dynamic programming
- maximum likelihood
- control algorithm
- control law
- guaranteed cost
- control parameters
- bayesian approaches
- control rules
- adaptive neural
- data fusion
- neural network controller
- bayesian models
- bayesian networks
- biped robot
- reinforcement learning algorithms
- micro controller
- prior distribution
- state space