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arithmeticencodingpython

Data Compression using Arithmetic Encoding in Python

auto_lirpa

[NeurIPS 2020]auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks

automatic_ticket_purchase

大麦网抢票脚本

bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

gym

A toolkit for developing and comparing reinforcement learning algorithms.

hanabi

Simplified Action Decoder for Deep Multi-Agent Reinforcement Learning

hanabi-learning-environment

hanabi_learning_environment is a research platform for Hanabi experiments.

ic3net

Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

imac

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

multiagent-particle-envs

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

multiagent_mujoco

Benchmark for Continuous Multi-Agent Robotic Control, based on OpenAI's Mujoco Gym environments.

mydinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

rl-baselines3-zoo

A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.

rsac

Codes for RSAC-AE, SAC-AE and SAC-AO

s2client-proto

StarCraft II Client - protocol definitions used to communicate with StarCraft II.

sa_ddpg

[NeurIPS 2020 Spotlight] State-adversarial DDPG for robust deep reinforcement learning

sa_dqn

[NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning

sarnet

Code repository for SARNet (NeurIPS 2020)

seqtrpo

smac

SMAC: The StarCraft Multi-Agent Challenge

softlearning

Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.

stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

stable-baselines3

PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.

tianshou

An elegant PyTorch deep reinforcement learning platform.

time-series-library

A Library for Advanced Deep Time Series Models.

tmc

Pytorch implementation of "Succinct and Robust Multi-Agent Communication With Temporal Message Control"