Handful Of Trials PytorchUnofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
NavbotUsing RGB Image as Visual Input for Mapless Robot Navigation
Pairstrade Fyp 2019We tested 3 approaches for Pair Trading: distance, cointegration and reinforcement learning approach.
MojitalkCode for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090
Lang Emerge ParlaiImplementation of EMNLP 2017 Paper "Natural Language Does Not Emerge 'Naturally' in Multi-Agent Dialog" using PyTorch and ParlAI
Easy Rl强化学习中文教程,在线阅读地址:https://datawhalechina.github.io/easy-rl/
TorchrlHighly Modular and Scalable Reinforcement Learning
ReimprovejsA framework using TensorFlow.js for Deep Reinforcement Learning
Gym IgnitionFramework for developing OpenAI Gym robotics environments simulated with Ignition Gazebo
Samsung Drl CodeRepository for codes of Deep Reinforcement Learning (DRL) lectured at Samsung
Chemgan ChallengeCode for the paper: Benhenda, M. 2017. ChemGAN challenge for drug discovery: can AI reproduce natural chemical diversity? arXiv preprint arXiv:1708.08227.
Rlai ExercisesExercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
Ngsim envLearning human driver models from NGSIM data with imitation learning.
Starcraft AiReinforcement Learning and Transfer Learning based StarCraft Micromanagement
RlenvsReinforcement learning environments for Torch7
Pytorch sac aePyTorch implementation of Soft Actor-Critic + Autoencoder(SAC+AE)
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.
PpoProximal Policy Optimization implementation with TensorFlow
MagentA Platform for Many-agent Reinforcement Learning
Cs234My Solution to Assignments of CS234
Deep Learning DrizzleDrench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Applied Ml📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Grid2opGrid2Op a testbed platform to model sequential decision making in power systems.
TntSimple tools for logging and visualizing, loading and training
Categorical DqnA working implementation of the Categorical DQN (Distributional RL).
TorchrlPytorch Implementation of Reinforcement Learning Algorithms ( Soft Actor Critic(SAC)/ DDPG / TD3 /DQN / A2C/ PPO / TRPO)
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.)
Hand dapgRepository to accompany RSS 2018 paper on dexterous hand manipulation
MagnetMAGNet: Multi-agents control using Graph Neural Networks
Stable Baselines3PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
SimulatorA ROS/ROS2 Multi-robot Simulator for Autonomous Vehicles
MazeMaze Applied Reinforcement Learning Framework
Sc2aibotImplementing reinforcement-learning algorithms for pysc2 -environment
KgpolicyReinforced Negative Sampling over Knowledge Graph for Recommendation, WWW2020
SnakeArtificial intelligence for the Snake game.
Lf2gymAn OpenAI-gym-like environment for Little Fighter 2