Sim-to-Real Deep Reinforcement Learning for Safe End-to-End Planning of Aerial Robots.
Halil Ibrahim UgurluHuy Xuan PhamErdal KayacanPublished in: Robotics (2022)
Keyphrases
- end to end
- reinforcement learning
- real robot
- ad hoc networks
- admission control
- real world
- multi robot
- action selection
- high bandwidth
- congestion control
- wireless ad hoc networks
- multipath
- state space
- mobile robot
- planning problems
- robotic systems
- application layer
- scalable video
- multiple robots
- internet protocol
- transport layer
- low complexity