An application of multi-objective reinforcement learning for efficient model-free control of canals deployed with IoT networks.
Tao RenJianwei NiuJiahe CuiZhenchao OuyangXuefeng LiuPublished in: J. Netw. Comput. Appl. (2021)
Keyphrases
- model free
- reinforcement learning
- multi objective
- reinforcement learning algorithms
- function approximation
- impedance control
- control problems
- temporal difference
- policy iteration
- optimal control
- state space
- reinforcement learning methods
- multi objective optimization
- optimal policy
- control system
- markov decision processes
- control strategies
- temporal difference learning
- rl algorithms
- adaptive control
- average reward
- learning algorithm