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TF-Agents is a library for Reinforcement Learning in TensorFlow
beamer template collection
A curated list of awesome TikZ documentations, libraries and resources
Define a simple beamer theme
Solutions for CS294-112 Fall2018 assignments in Pytorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Hands-On Reinforcement Learning with Python, published by Packt
Two improvements based on MADDPG algorithm
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).
在PyTorch上重构multi-agent deep deterministic policy gradient(MADDPG),将https://github.com/xuemei-ye/maddpg-mpe 修改到自己电脑上可运行。因为本人笔记本没有CUDA,实验速度太慢,不能保证算法被正确实现。
PyTorch Implementation of MADDPG (Lowe et. al. 2017)
Repo containing code for multi-agent deep reinforcement learning (MADRL).
Code for paper 'Learning transferable cooperative behaviors in multi-agent teams' (ICML 2019)
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
multiagent-gail working with multiagent-particle-env-v2 (which was modified by magail authors)
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
A MXNet Implementation for Drop an Octave
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
reinforcement learning
Python Implementation of Reinforcement Learning: An Introduction
Simple Reinforcement learning tutorials
rllab is a framework for developing and evaluating reinforcement learning algorithms, fully compatible with OpenAI Gym.
An educational resource to help anyone learn deep reinforcement learning.
Spriteworld: a flexible, configurable python-based reinforcement learning environment
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Simple and ready-to-use tutorials for TensorFlow
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.