RL-AKF: An Adaptive Kalman Filter Navigation Algorithm Based on Reinforcement Learning for Ground Vehicles.
Xile GaoHaiyong LuoBokun NingFang ZhaoLinfeng BaoYilin GongYimin XiaoJinguang JiangPublished in: Remote. Sens. (2020)
Keyphrases
- kalman filter
- reinforcement learning
- learning algorithm
- dynamic programming
- kalman filtering
- model free
- state estimation
- target tracking
- state space
- state space model
- rao blackwellized particle filter
- extended kalman filter
- expectation maximization
- function approximation
- temporal difference
- object tracking
- particle filter
- dimensionality reduction
- optimal solution