Difference between revisions of "Deep Q Network (DQN)"
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[http://www.google.com/search?q=deep+reinforcement+q+learning+machine+learning+ML+artificial+intelligence ...Google search] | [http://www.google.com/search?q=deep+reinforcement+q+learning+machine+learning+ML+artificial+intelligence ...Google search] | ||
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* [[Reinforcement Learning (RL)]] | * [[Reinforcement Learning (RL)]] | ||
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Revision as of 12:32, 1 September 2019
Youtube search... ...Google search
Deep Q learning (DQN), as published in Playing Atari with Deep Reinforcement Learning | Mnih et al, 2013, leverages advances in deep learning to learn policies from high dimensional sensory input. A convolutional neural network, trained with a variant of Q-learning, whose input is raw pixels and whose output is a value function estimating future rewards. Vanilla Deep Q Networks: Deep Q Learning Explained | Chris Yoon - Towards Data Science
Training deep neural networks to show that a novel end-to-end reinforcement learning agent, termed a deep Q-network (DQN) Human-level control through Deep Reinforcement Learning | Deepmind
