erfarenhetsuppspelning
Erfarenhetsuppspelning, often translated as "experience playback" or "replay" in English, is a technique used in various fields, particularly in computer science and artificial intelligence, to store and re-utilize past experiences. This concept is central to reinforcement learning, where an agent learns by interacting with an environment.
The core idea is to record the sequence of states, actions, and rewards that an agent encounters
In reinforcement learning, erfarenhetsuppspelning is commonly used in algorithms like Deep Q-Networks (DQN). By sampling mini-batches
Beyond reinforcement learning, the principle of erfarenhetsuppspelning can be applied in other areas where learning from