Lagomlagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
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DrqDrQ: Data regularized Q
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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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Reinforcement LearningImplementation of Reinforcement Learning algorithms in Python, based on Sutton's & Barto's Book (Ed. 2)
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NotebooksSome notebooks
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MagnetMAGNet: Multi-agents control using Graph Neural Networks
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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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Rl QuadcopterTeach a Quadcopter How to Fly!
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Awesome Ai BooksSome awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
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Rlai ExercisesExercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
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Modular Rl[ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"
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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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World Models Sonic PytorchAttempt at reinforcement learning with curiosity for Sonic the Hedgehog games. Number 149 on OpenAI retro contest leaderboard, but more work needed
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Rl Tutorial Jnrr19Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019
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MathyTools for using computer algebra systems to solve math problems step-by-step with reinforcement learning
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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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Coursera reinforcement learningCoursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute
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Ctc ExecutionerMaster Thesis: Limit order placement with Reinforcement Learning
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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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Chess Alpha ZeroChess reinforcement learning by AlphaGo Zero methods.
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Deep-Reinforcement-Learning-CS285-PytorchSolutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework
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Nn🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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RadRAD: Reinforcement Learning with Augmented Data
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Popular Rl AlgorithmsPyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
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Alpha Zero GeneralA clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
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Deeprl AgentsA set of Deep Reinforcement Learning Agents implemented in Tensorflow.
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TensorwatchDebugging, monitoring and visualization for Python Machine Learning and Data Science
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GdrlGrokking Deep Reinforcement Learning
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Reinforcement LearningLearn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
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