How can I improve my reinforcement learning models?

How can I improve my reinforcement learning models?

You can improve your models by tuning hyperparameters, using better reward functions, and increasing training data.

What are some effective hyperparameters to tune?

Key hyperparameters include learning rate, discount factor, and exploration rate. Adjusting these can significantly impact performance.

How do I choose a better reward function?

A good reward function should align closely with your desired outcomes. Consider using sparse rewards or shaping rewards to guide learning.

Can you suggest any resources for further learning?

Sure! Check out 'Reinforcement Learning: An Introduction' by Sutton and Barto, and online courses on platforms like Coursera.