Reinforcement Learning and Deep RL Python Theory and Projects - Moving Avg Implemented

The video tutorial explains the concept of moving average, particularly in the context of solving problems using DQN. It provides a detailed example of calculating moving averages over episodes and demonstrates how to implement this in code. The tutorial also covers testing and debugging the code to ensure accuracy and functionality.

What new insight or understanding did you gain from this video?