Navigation in Restricted Channels Under Environmental Conditions: Fast-Time Simulation by Asynchronous Deep Reinforcement Learning.
José AmendolaLucas S. MiuraAnna Helena Reali CostaFábio Gagliardi CozmanEduardo Aoun TannuriPublished in: IEEE Access (2020)
Keyphrases
- environmental conditions
- reinforcement learning
- spatially distributed
- dynamic environments
- environmental factors
- learning algorithm
- environmental variables
- multi channel
- simulation model
- function approximation
- supervised learning
- simulation environment
- asynchronous cellular automata
- multi agent
- neural network
- mobile robot
- temporal difference
- robot control
- navigation systems
- learning process
- robocup soccer