fredchenjialin

fredchenjialin's Stars

• google/dopamine

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

  Language:Jupyter Notebook10.4k1.4k

• jindongwang/transferlearning-tutorial

  《迁移学习简明手册》LaTex源码

  Language:TeX2.5k494

• princewen/tensorflow_practice

  tensorflow实战练习，包括强化学习、推荐系统、nlp等

  Language:Python6.7k3.3k

• chainer/chainerrl

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

  Language:Python1.2k226

• rlcode/reinforcement-learning

  Minimal and Clean Reinforcement Learning Examples

  Language:Python3.3k725

• hiili/rlcc

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

  Language:Matlab76

• MLJejuCamp2017/DRL_based_SelfDrivingCarControl

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

  Language:C#29396

• Kyushik/DRL

  Repository for codes of 'Deep Reinforcement Learning'

  Language:Python21443

• karanvivekbhargava/VREP_Self_Driving_Car_Simulation

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

  Language:Python62

• floodsung/DDPG

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

  Language:Python550176

• openai/maddpg

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

  Language:Python1.6k485

• rohan-sawhney/multi-agent-rl

  Language:Python7623

• fogleman/Minecraft

  Simple Minecraft-inspired program using Python and Pyglet

  Language:Python5.2k1.2k

• wuxiyu/ChineseRestaurantRrocess

  Language:Python46

• floodsung/wechat_jump_end_to_end

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

  Language:Python18037

• wangshusen/deep-rl

  Collection of Deep Reinforcement Learning algorithms

  Language:Python12270

• openai/baselines

  OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

  Language:Python15.6k4.9k

• 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:Python2.3k785

• UCL-SML/pilco-matlab

  PILCO policy search framework (Matlab version)

  Language:Matlab6333

• NVIDIA-AI-IOT/redtail

  Perception and AI components for autonomous mobile robotics.

  Language:C++1k345

• mit-racecar/racecar_gazebo

  A gazebo-based simulator of the MIT Racecar.

  Language:CMake16998

• zerowind168/SIMUROSOT-ROBOCHALLENGE

  Language:Python89

• devsisters/DQN-tensorflow

  Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

  Language:Python2.5k764

• ShangtongZhang/DeepRL

  Modularized Implementation of Deep RL Algorithms in PyTorch

  Language:Python3.2k677

• carpedm20/deep-rl-tensorflow

  TensorFlow implementation of Deep Reinforcement Learning papers

  Language:Python1.6k396

• 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 Notebook20.4k6k

• facebookresearch/ELF

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

  Language:C++2.1k286

• google-deepmind/lab

  A customisable 3D platform for agent-based AI research

  Language:C7.1k1.4k

• aikorea/awesome-rl

  Reinforcement learning resources curated

  8.8k1.8k

• manageyp/manageyp.github.com

  Henry Lee's Blog.

  Language:HTML16675