experience replay
In reinforcement learning, a DQN technique used to reduce temporal correlations in training data.
Plain English Explanation
In reinforcement learning, a DQN technique used to reduce temporal correlations in training data. The agent stores state transitions in a replay buffer, and then samples transitions from the replay buffer to create training data.
How is it used?
Practitioners refer to experience replay when building, training, or evaluating machine learning systems. It appears in research papers, product documentation, and technical discussions about AI capabilities and limitations.