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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 ...
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Oct 19, 2016 · In Q-learning, how should I represent my Reward function if my Q-function is approximated by a normal Feed-Forward Neural Network? Should I ...
Q-learning - Machine Learning with reinforcement learning
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Apr 11, 2024 · Embark on a journey into Q-learning, a powerful algorithm in reinforcement learning. Explore how this method enables machines to make ...
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Aug 17, 2020 · I'm tuning a deep learning model for a learner of Space Invaders game (image below). The state is defined as relative eucledian distance between ...
May 15, 2024 · Q-learning is a fascinating and widely used reinforcement learning type with applications ranging from robotics to video game AI.
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Apr 5, 2018 · As far as I understand, in each iteration, Q-learning algorithm predicts the future reward of next step (and next step only) using the ...
Dec 9, 2014 · Another paper that I found was apropos is Playing Atari with Deep Reinforcement Learning, which "extracts high level features using a range of ...
Apr 26, 2021 · In supervised learning we would tune the size and, hence, the capacity of the neural network model for a specific dataset based on if it is ...
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