What is the difference between online, offline, and off-policy learning in reinforcement learning?

Question

Machine Learning — Hard

What is the difference between online, offline, and off-policy learning in reinforcement learning?

Accepted Answer

Online RL learns in real time, offline RL uses pre-collected data, and off-policy methods learn from different behavior policies. This distinction is crucial in understanding how reinforcement learning algorithms interact with their environment and data collection strategies.