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depscope/npm/reinforcement-learning-with-deep-q-networks

reinforcement-learning-with-deep-q-networks

npmv1.0.1

The Reinforcement Learning with Deep Q-Networks (DQN) is a Python class that implements the DQN algorithm for reinforcement learning tasks. It allows agents to learn optimal policies through interaction with an environment using Q-learning and deep neural

License ISCpermissive2 versions1 maintainers46 deps
ywuus/Reinforcement-Learning-with-Deep-Q-Networks
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numpytensorflowkerasmatplotlibrandom-famous-library1random-famous-library2hierarchical-clustering-algorithmtictactoe-api-penglangtictactoe-api-fengpython-data-analysis-scriptjavascript-todo-list-applicationjava-command-line-calculatorruby-task-schedulerfile-encryption-programpython-image-processing-scriptjavascript-quiz-applicationjava-file-management-utilityaihua-gamepixelpanicgravityglidestarsmasherneonninjacosmicconquestcipherscribevirtualvoyagedatadynamopixelpuzzlecryptocompanionquantum-error-correction-simulatorsymbolic-regression-with-genetic-programminggenetic-algorithm-for-feature-selectionautomated-data-transformationautomated-email-sendingautomated-image-processingautomated-file-backupautomated-database-backupdigit-mergeserpentine-questneon-blitzadventurequestspace-adventure-gamefantasy-quest-adventuresimple-calculator-program9dark-mazerealm-cardsdark-journey
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First published · 2024-03-02T09:07:16.093Z

Last updated · 2024-05-05T07:26:13.464Z

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