High-speed Autonomous Racing using Trajectory-aided Deep Reinforcement Learning.
Benjamin David EvansHerman Arnold EngelbrechtHendrik Willem JordaanPublished in: CoRR (2023)
Keyphrases
- high speed
- reinforcement learning
- autonomous learning
- function approximation
- low power
- learning algorithm
- reinforcement learning algorithms
- multi agent
- trajectory data
- autonomous navigation
- state space
- learning capabilities
- markov decision processes
- high speed networks
- cooperative
- optimal policy
- frame rate
- temporal difference
- autonomous systems
- robotic control
- real time
- autonomous mental development
- learning process
- model free
- optimal control
- unmanned aerial vehicles
- low cost
- supervised learning
- mobile robot
- evolutionary learning
- trajectories of moving objects
- machine learning