Deep Reinforcement Learning for Mapless Navigation of a Hybrid Aerial Underwater Vehicle with Medium Transition.
Ricardo Bedin GrandoJunior Costa de JesusVictor Augusto KichAlisson Henrique KollingNicolas Pieper BortoluzziPedro Miranda PinheiroArmando Alves NetoPaulo Lilles Jorge Drews JuniorPublished in: CoRR (2021)
Keyphrases
- underwater vehicles
- reinforcement learning
- fault identification
- transition model
- computer simulation
- mathematical models
- model free
- function approximation
- machine learning
- state space
- satellite images
- aerial images
- multi agent
- learning algorithm
- learning process
- action selection
- temporal difference
- temporal difference learning
- learning problems
- cooperative
- hybrid approaches
- data sets
- robotic control