Reinforcement Learning for Autonomous UAV Navigation Using Function Approximation.
Huy Xuan PhamHung Manh LaDavid Feil-SeiferLuan Van NguyenPublished in: SSRR (2018)
Keyphrases
- function approximation
- reinforcement learning
- unmanned aerial vehicles
- state action space
- temporal difference
- mountain car
- model free
- tile coding
- temporal difference learning
- temporal difference learning algorithms
- radial basis function
- reinforcement learning algorithms
- path planning
- function approximators
- state space
- learning tasks
- control algorithm
- markov decision processes
- dynamic programming
- td learning
- robotic systems
- supervised learning
- multi agent
- decision trees
- machine learning
- dynamic environments
- optimal policy
- learning process
- policy evaluation
- learning algorithm
- genetic algorithm