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 algorithm that learns the value of actions in states to maximize cumulative reward.
What is the difference between DQN and PPO?
DQN uses a neural network to approximate Q-values, while PPO is a policy gradient method that optimizes the policy directly.
Are there any real-world applications of these algorithms?
Yes, they are used in robotics, game playing, and autonomous vehicles, among other fields.
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