Q-learning is a model-free reinforcement learning algorithm to learn the value of an action in a particular state. It does not require a model of the ...

May 7, 2023 · 1. Q-Learning ... The best action-value function can be learned using the model-free reinforcement learning technique known as Q-learning. It ...

May 15, 2024 · Q-learning is a fascinating and widely used reinforcement learning type with applications ranging from robotics to video game AI.

Q learning is reinforcement learning that iteratively adjusts state-action policy by maintaining a table of state-action pairs, while deep Q learning ...

Q-learning is a type of reinforcement learning. With reinforcement learning, a machine learning model is trained to mimic the way animals or children learn.

Feb 18, 2019 · This article pursues to highlight in a non-exhaustive manner the main type of algorithms used for reinforcement learning (RL).

There are several algorithms that can be used to train reinforcement learning agents, such as Q-learning, policy gradient methods, and actor-critic methods.

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Posted: Jan 3, 2022