AdeptrlReinforcement learning framework to accelerate research
Stars: ✭ 173 (-65.33%)
Reinforcement LearningLearn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
Stars: ✭ 3,329 (+567.13%)
Rl a3c pytorchA3C LSTM Atari with Pytorch plus A3G design
Stars: ✭ 482 (-3.41%)
MindparkTestbed for deep reinforcement learning
Stars: ✭ 163 (-67.33%)
ElfAn End-To-End, Lightweight and Flexible Platform for Game Research
Stars: ✭ 2,057 (+312.22%)
Learning2runOur NIPS 2017: Learning to Run source code
Stars: ✭ 57 (-88.58%)
SimulatorA ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
Stars: ✭ 1,260 (+152.51%)
ToycarirlImplementation of Inverse Reinforcement Learning Algorithm on a toy car in a 2D world problem, (Apprenticeship Learning via Inverse Reinforcement Learning Abbeel & Ng, 2004)
Stars: ✭ 128 (-74.35%)
RavensTrain robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.
Stars: ✭ 133 (-73.35%)
jax-rlJAX implementations of core Deep RL algorithms
Stars: ✭ 61 (-87.78%)
Dreamerv2Mastering Atari with Discrete World Models
Stars: ✭ 287 (-42.48%)
HuskarlDeep Reinforcement Learning Framework + Algorithms
Stars: ✭ 414 (-17.03%)
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.
Stars: ✭ 42 (-91.58%)
Deep trafficMIT DeepTraffic top 2% solution (75.01 mph) 🚗.
Stars: ✭ 47 (-90.58%)
SnakeArtificial intelligence for the Snake game.
Stars: ✭ 1,241 (+148.7%)
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..
Stars: ✭ 442 (-11.42%)
Awesome AiA curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)
Stars: ✭ 161 (-67.74%)
Recsim A Configurable Recommender Systems Simulation Platform
Stars: ✭ 461 (-7.62%)
EvostraA fast Evolution Strategy implementation in Python
Stars: ✭ 227 (-54.51%)
He4o和(he for objective-c) —— “信息熵减机系统”
Stars: ✭ 284 (-43.09%)
PolyaxonMachine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)
Stars: ✭ 2,966 (+494.39%)
Rl4jDeep Reinforcement Learning for the JVM (Deep-Q, A3C)
Stars: ✭ 330 (-33.87%)
Pomdps.jlMDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
Stars: ✭ 338 (-32.26%)
ArnoldArnold - DOOM Agent
Stars: ✭ 457 (-8.42%)
Awesome MlssList of summer schools in machine learning + related fields across the globe
Stars: ✭ 1,001 (+100.6%)
NotebooksSome notebooks
Stars: ✭ 53 (-89.38%)
Batch PpoEfficient Batched Reinforcement Learning in TensorFlow
Stars: ✭ 945 (+89.38%)
Ai Reading MaterialsSome of the ML and DL related reading materials, research papers that I've read
Stars: ✭ 79 (-84.17%)
MapleaiAI各领域学习资料整理。(A collection of all skills and knowledges should be got command of to obtain an AI relevant job offer. There are online blogs, my personal blogs, electronic books copy.)
Stars: ✭ 89 (-82.16%)
GymSeoul AI Gym is a toolkit for developing AI algorithms.
Stars: ✭ 27 (-94.59%)
Chemgan ChallengeCode for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
Stars: ✭ 98 (-80.36%)
Rlai ExercisesExercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
Stars: ✭ 97 (-80.56%)
Papers Literature Ml Dl Rl AiHighly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Stars: ✭ 1,341 (+168.74%)
Flappy EsFlappy Bird AI using Evolution Strategies
Stars: ✭ 140 (-71.94%)
Awesome Ml CoursesAwesome free machine learning and AI courses with video lectures.
Stars: ✭ 2,145 (+329.86%)
DoyouevenlearnEssential Guide to keep up with AI/ML/DL/CV
Stars: ✭ 913 (+82.97%)
Dm controlDeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Stars: ✭ 2,592 (+419.44%)
Applied Reinforcement LearningReinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
Stars: ✭ 229 (-54.11%)
Free Ai Resources🚀 FREE AI Resources - 🎓 Courses, 👷 Jobs, 📝 Blogs, 🔬 AI Research, and many more - for everyone!
Stars: ✭ 192 (-61.52%)
DrqDrQ: Data regularized Q
Stars: ✭ 268 (-46.29%)
DreamerDream to Control: Learning Behaviors by Latent Imagination
Stars: ✭ 269 (-46.09%)
Tensorflow ReinforceImplementations of Reinforcement Learning Models in Tensorflow
Stars: ✭ 480 (-3.81%)
Deep Learning深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……
Stars: ✭ 329 (-34.07%)
Lagomlagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
Stars: ✭ 364 (-27.05%)
Pytorch Cpp RlPyTorch C++ Reinforcement Learning
Stars: ✭ 353 (-29.26%)
Openai labAn experimentation framework for Reinforcement Learning using OpenAI Gym, Tensorflow, and Keras.
Stars: ✭ 313 (-37.27%)
CiffCornell Instruction Following Framework
Stars: ✭ 23 (-95.39%)
Awesome Ai BooksSome awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning
Stars: ✭ 855 (+71.34%)
AtariAI research environment for the Atari 2600 games 🤖.
Stars: ✭ 174 (-65.13%)
GdrlGrokking Deep Reinforcement Learning
Stars: ✭ 304 (-39.08%)
Home PlatformHoME: a Household Multimodal Environment is a platform for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all within a realistic context.
Stars: ✭ 370 (-25.85%)