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Hello, I pushed some python environments for Multi Agent Reinforcement Learning.
This is a framework for the research on multi-agent reinforcement learning and the implementation of the experiments in the paper titled by Rethink Global Reward Game and Credit Assignment in Multi-agent Reinforcement Learning
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Learning multi-agent policies for flocking using graph neural networks
Neural MMO - A Massively Multiagent Game Environment
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
This is the official implementation of Multi-Agent PPO.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Beta code release for Python Multi-Agent Reinforcement Learning framework
Rethinking the Importance of Implementation Tricks in Multi-Agent Reinforcement Learning
StarCraft II Learning Environment
StarCraft II / PySC2 Deep Reinforcement Learning Agents (A2C)
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
PyTorch implementation of Asynchronous Advantage Actor Critic (A3C) from "Asynchronous Methods for Deep Reinforcement Learning".
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
Geometric Deep Learning Extension Library for PyTorch
A system for parallel and distributed Python that unifies the ML ecosystem.
A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
This code is written for the blogs
Relational graph learning for crowd navigation
Publicly releasable baselines for the Retro contest
An RL agent for the Google Football environment
A3C LSTM Atari with Pytorch plus A3G design
Recurrent MADDPG for Partially Observable and Limited Communication Settings
Open-source software for robot simulation, integrated with OpenAI Gym.
Code for the paper "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"
A Curated List of Must-read Papers on Recommender System.
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.