2. Task: Navigation in Habitat
Presenter: Erik Wijmans
In this session we discuss, at a high level, training agents to perform navigation tasks (i.e. ‘Go to the bedroom’) in AI Habitat. Specifically, we discuss the task of PointGoal Navigation (i.e. go 5 meters forward and 2 meters to the left) and explain the embodiment of the agent, the deep neural network used to control it, how to frame the task as a reinforcement learning problem, and where Habitat-Sim and Habitat-Lab are used to train this agent with deep reinforcement learning.