4 docs tagged with "reinforcement learning"

An introduction to Deep Q-Networks, a reinforcement learning technique that combines Q-Learning with deep neural networks to handle complex, high-dimensional state spaces.

An introduction to policy gradient methods in reinforcement learning, including their role in optimizing policies directly for better performance in continuous action spaces.

An overview of the Q-Learning Algorithm, a model-free reinforcement learning method that learns the optimal action-value function to guide decision-making.

In this post, we'll explore Reinforcement Learning, a type of machine learning used for decision-making and optimizing actions.