Lamperougeyxy

SAAC-StarCraft-Adversary-Agent-Challenge

decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

transformer

A Pytorch Implementation of "Attention is All You Need" and "Weighted Transformer Network for Machine Translation"

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

sentence-transformers

State-of-the-Art Text Embeddings

pymarl2

Fine-tuned MARL algorithms on SMAC (100% win rates on most scenarios)

epymarl

An extension of the PyMARL codebase that includes additional algorithms and environment support

pymarl-algorithm-extension-via-starcraft

mbpo_pytorch

A pytorch reprelication of the model-based reinforcement learning algorithm MBPO

mve

MVE: model-based value estimation

NAF-tensorflow

"Continuous Deep Q-Learning with Model-based Acceleration" in TensorFlow

nn_dynamics

BIRD_code

Code for paper "Bridging Imagination and Reality for Model-Based Deep Reinforcement Learning".

Popular-RL-Algorithms

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

mpc.pytorch

A fast and differentiable model predictive control (MPC) solver for PyTorch.

do-mpc

Model predictive control python toolbox

pytorch-feudal-network

Pytorch implementation of [Feudal Net](https://arxiv.org/abs/1703.01161). ([Tensorflow version](https://github.com/dmakian/feudal_networks))

PILCO

Bayesian Reinforcement Learning in Tensorflow

Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments

RODE

Codes accompanying the paper "RODE: Learning Roles to Decompose Multi-Agent Tasks (ICLR 2021, https://arxiv.org/abs/2010.01523). RODE is a scalable role-based multi-agent learning method which effectively discovers roles based on joint action space decomposition according to action effects, establishing a new state of the art on the StarCraft multi-agent benchmark.

gps

Guided Policy Search

go-explore

Code for Go-Explore: a New Approach for Hard-Exploration Problems

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

handful-of-trials

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

mbpo

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

pytorch-A3C

Simple A3C implementation with pytorch + multiprocessing

Evolutionary-Algorithm

Evolutionary Algorithm using Python, 莫烦Python 中文AI教学

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.