Squeezing More from the Stream : Learning Representation Online for Streaming Reinforcement Learning

Nilaksh, Antoine Clavaud, Mathieu Reymond +2

In streaming Reinforcement Learning (RL), transitions are observed and discarded immediately after a single update. While this minimizes resource usage for on-device applications,…