The agent is trying to master the Atari Breakout game.
Here is my code
Is that normal that
reward_100 decreased that much after it hits 4.5? Is there a way to avoid that behavior?
Be aware that
reward_100 is simply
mean_reward = np.mean(self.total_rewards[-100:]). In other words, it is the mean over the last 100 rewards. On the graph,
reward_100 represents de y-axis and th number of episodes the x-axis.