Robot in a China Shop: Using Reinforcement Learning for Location-Specific Navigation Behaviour
Bian Xihan,Oscar Mendez,Simon Hadfield,Bian Xihan,Oscar Mendez,Simon Hadfield
Robots need to be able to work in multiple different environments. Even when performing similar tasks, different behaviour should be deployed to best fit the current environment. In this paper, We propose a new approach to navigation, where it is treated as a multi-task learning problem. This enables the robot to learn to behave differently in visual navigation tasks for different environments whi...
