Obstacle Avoidance for UAS in Continuous Action Space Using Deep Reinforcement Learning.
Jueming HuXuxi YangWeichang WangPeng WeiLei YingYongming LiuPublished in: IEEE Access (2022)
Keyphrases
- action space
- obstacle avoidance
- reinforcement learning
- mobile robot
- state space
- markov decision processes
- path planning
- state and action spaces
- real valued
- continuous state
- continuous state spaces
- visually guided
- action selection
- stochastic processes
- function approximators
- continuous action
- autonomous vehicles
- motion planning
- reinforcement learning methods
- state action
- function approximation
- reinforcement learning algorithms
- single agent
- markov decision problems
- model free
- dynamic environments
- probabilistic model
- dynamic programming
- multi agent