What are some popular reinforcement learning algorithms?
Some popular reinforcement learning algorithms include Q-learning, Deep Q-Networks (DQN), and Proximal Policy Optimization (PPO).
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, helping an agent to choose the best action.
What is the difference between model-based and model-free reinforcement learning?
Model-based reinforcement learning involves creating a model of the environment to predict future states, while model-free relies on learning from past experiences without a model.
How does Deep Q-Network improve upon traditional Q-learning?
Deep Q-Networks use deep neural networks to approximate the Q-value function, allowing them to handle high-dimensional state spaces more effectively.
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