2021
A Deep Reinforcement Learning Approach To Audio-Based Navigation In A Multi-Speaker Environment
ICASSP 2021accepted
In this work we use deep reinforcement learning to create an autonomous agent that can navigate in a two-dimensional space using only raw auditory sensory information from the environment, a problem that has received very little attention in the reinforcement learning literature. Our experiments sho…