Deep Reinforcement Learning-Based Optimal Control of Variable Cycle Engine Performance.
Bo TaoLi-Ying YangDong-Sheng WuSi-Liang LiZhao-Xiong HuangXiao-Shu SunPublished in: ICARM (2022)
Keyphrases
- optimal control
- reinforcement learning
- control problems
- dynamic programming
- infinite horizon
- feedback control
- risk sensitive
- brownian motion
- control strategy
- actor critic
- rl algorithms
- optimal control problems
- control law
- class of nonlinear systems
- function approximation
- action selection
- state space
- lyapunov function
- average cost
- markov decision processes
- policy iteration
- model free
- stochastic control
- fixed cost
- data mining
- temporal difference
- approximate dynamic programming
- control method
- learning problems
- continuous stirred tank reactor