Reinforcement Learning
Q-Learning
A reinforcement learning algorithm that learns the value of actions in states to determine optimal behavior.
In-depth explanation
Q-learning learns a Q-function that estimates the expected future reward for taking an action in a state. It's model-free (doesn't need environment model) and off-policy (can learn from any experience). Deep Q-Networks (DQN) combine Q-learning with neural networks to handle large state spaces, achieving human-level performance on Atari games.
Examples
Atari game playing
Resource allocation
Related terms
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