DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning
DRLViz: Understanding Decisions and Memory in Deep Reinforcement Learning
Abstract We present DRLViz, a visual analytics interface to interpret the internal memory of an agent (e.g. a robot) trained using deep reinforcement learning. This memory is composed of large temporal vectors updated when the agent moves in an environment and is not trivial to understand due to the number …