fredchenjialin

fredchenjialin's Stars

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.8k8651556.1k

• openai/baselines

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  Language:Python15.9k6428504.9k

• google/dopamine

  Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

  Language:Jupyter Notebook10.6k4251701.4k

• aikorea/awesome-rl

  Reinforcement learning resources curated

  8.9k441121.8k

• google-deepmind/lab

  A customisable 3D platform for agent-based AI research

  Language:C7.2k4662261.4k

• princewen/tensorflow_practice

  tensorflow实战练习，包括强化学习、推荐系统、nlp等

  Language:Python6.8k223673.3k

• fogleman/Minecraft

  Simple Minecraft-inspired program using Python and Pyglet

  Language:Python5.3k246751.2k

• rlcode/reinforcement-learning

  Minimal and Clean Reinforcement Learning Examples

  Language:Python3.4k12954735

• ShangtongZhang/DeepRL

  Modularized Implementation of Deep RL Algorithms in PyTorch

  Language:Python3.2k9092687

• jindongwang/transferlearning-tutorial

  《迁移学习简明手册》LaTex源码

  Language:TeX2.5k10424495

• devsisters/DQN-tensorflow

  Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

  Language:Python2.5k14257763

• openai/multiagent-particle-envs

  Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

  Language:Python2.4k17484793

• facebookresearch/ELF

  An End-To-End, Lightweight and Flexible Platform for Game Research

  Language:C++2.1k12490284

• openai/maddpg

  Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

  Language:Python1.7k14767494

• carpedm20/deep-rl-tensorflow

  TensorFlow implementation of Deep Reinforcement Learning papers

  Language:Python1.6k9235396

• chainer/chainerrl

  ChainerRL is a deep reinforcement learning library built on top of Chainer.

  Language:Python1.2k70198225

• NVIDIA-AI-IOT/redtail

  Perception and AI components for autonomous mobile robotics.

  Language:C++1k102140345

• floodsung/DDPG

  Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

  Language:Python5571718177

• MLJejuCamp2017/DRL_based_SelfDrivingCarControl

  Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator

  Language:C#299263396

• Kyushik/DRL

  Repository for codes of 'Deep Reinforcement Learning'

  Language:Python21610041

• floodsung/wechat_jump_end_to_end

  Playing Wechat Jump Game with End-to-End Convolutional Neural Networks

  Language:Python180141237

• mit-racecar/racecar_gazebo

  A gazebo-based simulator of the MIT Racecar.

  Language:CMake169171897

• manageyp/manageyp.github.com

  Henry Lee's Blog.

  Language:HTML16722374

• wangshusen/deep-rl

  Collection of Deep Reinforcement Learning algorithms

  Language:Python1248069

• rohan-sawhney/multi-agent-rl

  Language:Python774423

• UCL-SML/pilco-matlab

  PILCO policy search framework (Matlab version)

  Language:Matlab636134

• zerowind168/SIMUROSOT-ROBOCHALLENGE

  Language:Python8249

• hiili/rlcc

  High-performance implementations of several reinforcement learning algorithms and some commonly used benchmark problems (Matlab & C++)

  Language:MATLAB7306

• karanvivekbhargava/VREP_Self_Driving_Car_Simulation

  All the files needed to get started with a self driving car simulation in VREP

  Language:Python6302

• wuxiyu/ChineseRestaurantRrocess

  Language:Python56