237 skills found · Page 1 of 8
andri27-ts / Reinforcement LearningLearn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
simoninithomas / Deep Reinforcement Learning CourseImplementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
MushroomRL / Mushroom RlPython library for Reinforcement Learning.
omerbsezer / Reinforcement Learning Tutorial With DemoReinforcement Learning Tutorial with Demo: DP (Policy and Value Iteration), Monte Carlo, TD Learning (SARSA, QLearning), Function Approximation, Policy Gradient, DQN, Imitation, Meta Learning, Papers, Courses, etc..
ucaiado / QLearning TradingLearning to trade under the reinforcement learning framework
AndreaVidali / Deep QLearning Agent For Traffic Signal ControlA framework where a deep Q-Learning Reinforcement Learning agent tries to choose the correct traffic light phase at an intersection to maximize traffic efficiency.
chncyhn / Flappybird Qlearning BotFlappy Bird Bot using Reinforcement Learning
Skylark0924 / Machine Learning Is ALL You Need🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
farizrahman4u / Qlearning4kQ-learning for Keras
yandexdataschool / AgentNetDeep Reinforcement Learning library for humans
mudler / Luet:package: :whale: 0-dependency Container-based Package Manager using SAT solver and QLearning
ivanbelenky / RLR.L. methods and techniques.
Allenpandas / Tutorial4RLTutorial4RL: Tutorial for Reinforcement Learning. 强化学习入门教程.
jczic / MicroMLPA micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
YueDayu / AsmFlappyBirdA flappy bird using asm language with QLearning method
blakeMilner / DeepQLearningA powerful machine learning algorithm utilizing Q-Learning and Neural Networks, implemented using Torch and Lua.
10-OASIS-01 / MinrlMinRL provides clean, minimal implementations of fundamental reinforcement learning algorithms in a customizable GridWorld environment. The project focuses on educational clarity and implementation simplicity while maintaining production-quality code standards.
Code-Bullet / Car QLearningNo description available
DeepNeuralAI / RL DeepQLearning TradingAn RL model that uses double deep Q learning to generate an optimal policy of stock market trades
leoll2 / AutoparkingSelf parking with reinforcement learning
