What are some effective techniques in reinforcement learning?

What are some effective techniques in reinforcement learning?

Some effective techniques include Q-learning, Deep Q-Networks (DQN), Policy Gradients, and Actor-Critic methods.

Can you explain how Q-learning works?

Q-learning is a model-free reinforcement learning algorithm that learns the value of an action in a particular state.

What is the difference between Q-learning and DQN?

Q-learning uses a table to store values, while DQN uses a neural network to approximate the Q-values for better scalability.

Are there any real-world applications of reinforcement learning?

Yes, reinforcement learning is used in robotics, game playing, recommendation systems, and autonomous vehicles.