Deep Q LearningMinimal Deep Q Learning (DQN & DDQN) implementations in Keras
Stars: ✭ 1,013 (+510.24%)
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
Stars: ✭ 118 (-28.92%)
Dissecting Reinforcement LearningPython code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
Stars: ✭ 512 (+208.43%)
Deterministic Gail PytorchPyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
Stars: ✭ 44 (-73.49%)
king-pongDeep Reinforcement Learning Pong Agent, King Pong, he's the best
Stars: ✭ 23 (-86.14%)
Easy Rl强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
Stars: ✭ 3,004 (+1709.64%)
RadRAD: Reinforcement Learning with Augmented Data
Stars: ✭ 268 (+61.45%)
CurlCURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
Stars: ✭ 346 (+108.43%)
Async DeeprlPlaying Atari games with TensorFlow implementation of Asynchronous Deep Q-Learning
Stars: ✭ 44 (-73.49%)
Drivebottensorflow deep RL for driving a rover around
Stars: ✭ 62 (-62.65%)
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 (+166.27%)
Pytorch DrlPyTorch implementations of various Deep Reinforcement Learning (DRL) algorithms for both single agent and multi-agent.
Stars: ✭ 233 (+40.36%)
Gym FxForex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress
Stars: ✭ 151 (-9.04%)
Pytorch RlPyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.
Stars: ✭ 658 (+296.39%)
GamA PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Stars: ✭ 227 (+36.75%)
Deep Rl Tradingplaying idealized trading games with deep reinforcement learning
Stars: ✭ 228 (+37.35%)
LearningxDeep & Classical Reinforcement Learning + Machine Learning Examples in Python
Stars: ✭ 241 (+45.18%)
Mlds2018springMachine Learning and having it Deep and Structured (MLDS) in 2018 spring
Stars: ✭ 124 (-25.3%)
DeepdriveDeepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving
Stars: ✭ 628 (+278.31%)
Tensorflow ReinforceImplementations of Reinforcement Learning Models in Tensorflow
Stars: ✭ 480 (+189.16%)
Deeprl TutorialsContains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch
Stars: ✭ 748 (+350.6%)
Pytorch RlThis repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Stars: ✭ 394 (+137.35%)
Pysc2 ExamplesStarCraft II - pysc2 Deep Reinforcement Learning Examples
Stars: ✭ 722 (+334.94%)
Ml In TfGet started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!
Stars: ✭ 45 (-72.89%)
Deep trafficMIT DeepTraffic top 2% solution (75.01 mph) 🚗.
Stars: ✭ 47 (-71.69%)
NotebooksSome notebooks
Stars: ✭ 53 (-68.07%)
MujocounityReproducing MuJoCo benchmarks in a modern, commercial game /physics engine (Unity + PhysX).
Stars: ✭ 47 (-71.69%)
DqnImplementation of q-learning using TensorFlow
Stars: ✭ 53 (-68.07%)
MaxCode for reproducing experiments in Model-Based Active Exploration, ICML 2019
Stars: ✭ 61 (-63.25%)
Ali PytorchPyTorch implementation of Adversarially Learned Inference (BiGAN).
Stars: ✭ 61 (-63.25%)
Sparsely Grouped GanCode for paper "Sparsely Grouped Multi-task Generative Adversarial Networks for Facial Attribute Manipulation"
Stars: ✭ 68 (-59.04%)
Acgan PytorchPytorch implementation of Conditional Image Synthesis with Auxiliary Classifier GANs
Stars: ✭ 57 (-65.66%)
Drl papernotesNotes and comments about Deep Reinforcement Learning papers
Stars: ✭ 65 (-60.84%)
Rl ardroneAutonomous Navigation of UAV using Reinforcement Learning algorithms.
Stars: ✭ 76 (-54.22%)
CausalworldCausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Stars: ✭ 76 (-54.22%)
Rlenv.directoryExplore and find reinforcement learning environments in a list of 150+ open source environments.
Stars: ✭ 79 (-52.41%)
Ai Reading MaterialsSome of the ML and DL related reading materials, research papers that I've read
Stars: ✭ 79 (-52.41%)
Deep Learning DrizzleDrench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Stars: ✭ 9,717 (+5753.61%)
Cs234My Solution to Assignments of CS234
Stars: ✭ 91 (-45.18%)
DeepbootcampSolved lab problems, slides and notes of the Deep Reinforcement Learning bootcamp 2017 held at UCBerkeley
Stars: ✭ 39 (-76.51%)
Torch AcRecurrent and multi-process PyTorch implementation of deep reinforcement Actor-Critic algorithms A2C and PPO
Stars: ✭ 70 (-57.83%)
SnakeArtificial intelligence for the Snake game.
Stars: ✭ 1,241 (+647.59%)
Pytorch sac aePyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
Stars: ✭ 94 (-43.37%)
TorchrlHighly Modular and Scalable Reinforcement Learning
Stars: ✭ 102 (-38.55%)
Samsung Drl CodeRepository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung
Stars: ✭ 99 (-40.36%)
Numpy MlMachine learning, in numpy
Stars: ✭ 11,100 (+6586.75%)