Reinforcement LearningLearn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
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Deeprl TutorialsContains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
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Rl QuadcopterTeach a Quadcopter How to Fly!
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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..
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RadRAD: Reinforcement Learning with Augmented Data
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Applied Reinforcement LearningReinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
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Practical rlA course in reinforcement learning in the wild
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DrqDrQ: Data regularized Q
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Pytorch sacPyTorch implementation of Soft Actor-Critic (SAC)
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Lagomlagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
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Rl BookSource codes for the book "Reinforcement Learning: Theory and Python Implementation"
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Ml In TfGet started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
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MujocounityReproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).
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GdrlGrokking Deep Reinforcement Learning
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Pysc2 ExamplesStarCraft II - pysc2 Deep Reinforcement Learning Examples
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Reinforcementlearning AtarigamePytorch LSTM RNN for reinforcement learning to play Atari games from OpenAI Universe. We also use Google Deep Mind's Asynchronous Advantage Actor-Critic (A3C) Algorithm. This is much superior and efficient than DQN and obsoletes it. Can play on many games
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DeepbootcampSolved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley
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Machine Learning From ScratchSuccinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
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Deterministic Gail PytorchPyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
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Policy Gradient MethodsImplementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC
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Async DeeprlPlaying Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning
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MaxCode for reproducing experiments in Model-Based Active Exploration, ICML 2019
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Deepqlearning.jlImplementation of the Deep Q-learning algorithm to solve MDPs
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Deep Q LearningMinimal Deep Q Learning (DQN & DDQN) implementations in Keras
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RlcardReinforcement Learning / AI Bots in Card (Poker) Games - Blackjack, Leduc, Texas, DouDizhu, Mahjong, UNO.
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Reinforcement LearningImplementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)
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Left ShiftUsing deep reinforcement learning to tackle the game 2048.
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Torch AcRecurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
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Rl WorkshopReinforcement Learning Workshop for Data Science BKK
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Reinforcement LearningReinforcement learning material, code and exercises for Udacity Nanodegree programs.
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Dmc2gymOpenAI Gym wrapper for the DeepMind Control Suite
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MathyTools for using computer algebra systems to solve math problems step-by-step with reinforcement learning
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Minecraft Reinforcement LearningDeep Recurrent Q-Learning vs Deep Q Learning on a simple Partially Observable Markov Decision Process with Minecraft
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Drl papernotesNotes and comments about Deep Reinforcement Learning papers
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Mit Deep LearningTutorials, assignments, and competitions for MIT Deep Learning related courses.
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Rlenv.directoryExplore and find reinforcement learning environments in a list of 150+ open source environments.
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SnakeArtificial intelligence for the Snake game.
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Deep Learning DrizzleDrench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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Learning Notes💡 Repo of learning notes in DRL and DL, theory, codes, models and notes maybe.
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Pytorch RlTutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
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MagnetMAGNet: Multi-agents control using Graph Neural Networks
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Cs234My Solution to Assignments of CS234
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Rl Movie RecommenderThe purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.
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Ngsim envLearning human driver models from NGSIM data with imitation learning.
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Samsung Drl CodeRepository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung
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