aicools Goto Github PK
Name: Cross-level
Type: User
Name: Cross-level
Type: User
Lightweight, efficient and stable implementations of deep reinforcement learning algorithms using PyTorch. 🔥
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
学习强国 懒人刷分工具 自动学习
网格环境下连续动作
A toolkit for developing and comparing reinforcement learning algorithms.
A basic 2D maze environment where an agent start from the top left corner and try to find its way to the bottom left corner.
Minimalistic gridworld package for OpenAI Gym
Simple 3D interior simulator for RL & robotics research
Lightweight multi-agent gridworld Gym environment
A Gym wrapper for the Torcs Racing car simulator
Assignments for CS294-112.
ICLR 2022 Paper submission trend analysis from https://openreview.net/group?id=ICLR.cc/2022/Conference
A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env
Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol
Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.
Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes
Project for my graduate neural networks course - combining RL with VAEs
Lightweight version of MAPPO to help you quickly migrate to your local environment.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Pytorch implementation of the MARL algorithm, MADDPG, which correspondings to the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments".
PyTorch Implementation of MADDPG (Lowe et. al. 2017)
Repo containing code for multi-agent deep reinforcement learning (MADRL).
A Platform for Many-agent Reinforcement Learning
Project on multi agent reinforcement learning applied on patrolling agents
This project solves self-made maze in a variety of ways: A-star, Q-learning and Deep Q-network.
ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html
A Pytorch implementation of the multi agent deep deterministic policy gradients (MADDPG) algorithm
Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.
Hello, I pushed some python environments for Multi Agent Reinforcement Learning.
solve pursuit-evasion problem with multi-agent deep reinforcement learning
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.