What are the main challenges associated with training neural networks using reinforcement learning, and how do techniques like experience replay and target networks address these challenges?
Tuesday, 11 June 2024
by EITCA Academy
Training neural networks using reinforcement learning (RL) presents several significant challenges, primarily due to the inherent complexity and instability of the learning process. These challenges arise from the dynamic nature of the environment, the need for effective exploration, the stability of learning, and the efficiency of data usage. Techniques such as experience replay and target