What role does experience replay play in stabilizing the training process of deep reinforcement learning algorithms, and how does it contribute to improving sample efficiency?
Tuesday, 11 June 2024
by EITCA Academy
Experience replay is a crucial technique in deep reinforcement learning (DRL) that addresses several fundamental challenges inherent in training DRL algorithms. The primary role of experience replay is to stabilize the training process, which is often volatile due to the sequential and correlated nature of the data encountered by the agent. Additionally, experience replay enhances