Awesome Ml CoursesAwesome free machine learning and AI courses with video lectures.
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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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BtgymScalable, event-driven, deep-learning-friendly backtesting library
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Machine Learning Curriculum💻 Make machines learn so that you don't have to struggle to program them; The ultimate list
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PpoProximal Policy Optimization implementation with TensorFlow
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Deeprl TutorialsContains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
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AilearnnotesArtificial Intelligence Learning Notes.
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Pytorch RlDeep Reinforcement Learning with pytorch & visdom
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MagentA Platform for Many-agent Reinforcement Learning
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Pysc2 ExamplesStarCraft II - pysc2 Deep Reinforcement Learning Examples
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SavnLearning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)
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TensorpackA Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
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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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TraxTrax — Deep Learning with Clear Code and Speed
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CoaxThis project was moved to: https://github.com/coax-dev/coax
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Rex GymOpenAI Gym environments for an open-source quadruped robot (SpotMicro)
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Grid2opGrid2Op a testbed platform to model sequential decision making in power systems.
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Highway EnvA minimalist environment for decision-making in autonomous driving
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Reinforcement learning in pythonImplementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa
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Pytorch RlPyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
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TntSimple tools for logging and visualizing, loading and training
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TorchrlPytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
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DeepdriveDeepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
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Holdem🃏 OpenAI Gym No Limit Texas Hold 'em Environment for Reinforcement Learning
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FlowComputational framework for reinforcement learning in traffic control
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Hand dapgRepository to accompany RSS 2018 paper on dexterous hand manipulation
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Amazon Sagemaker ExamplesExample 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
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Rl Baselines3 ZooA collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.
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Reversi Alpha ZeroReversi reinforcement learning by AlphaGo Zero methods.
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Stable Baselines3PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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ElegantrlLightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch.
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RavensTrain robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
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SimulatorA ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
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Naf Tensorflow"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow
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LeakganThe codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.
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MazeMaze Applied Reinforcement Learning Framework
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Phd BibliographyReferences on Optimal Control, Reinforcement Learning and Motion Planning
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Reinforcement learningImplementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.
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Sc2aibotImplementing reinforcement-learning algorithms for pysc2 -environment
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HolodeckHigh Fidelity Simulator for Reinforcement Learning and Robotics Research.
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MjrlReinforcement learning algorithms for MuJoCo tasks
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Dm controlDeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
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RlcycleA library for ready-made reinforcement learning agents and reusable components for neat prototyping
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JerichoA learning environment for man-made Interactive Fiction games.
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RainbowA PyTorch implementation of Rainbow DQN agent
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Numpy MlMachine learning, in numpy
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Neural Architecture Search With RlMinimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017
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