AugustOvQ

google-research

Google Research

music

Mutual Information State Intrinsic Control (ICLR 2021 Spotlight)

rlpyt

Reinforcement Learning in PyTorch

WhiteSur-gtk-theme

MacOS Big Sur like theme for Gnome desktops

TransformersCanDoBayesianInference

Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper

greedy_ensembles_training

Greedy Bayesian Posterior Approximation with Deep Ensembles. A. Tiulpin and M. B. Blaschko. (2021)

robotic-warehouse

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

robotic-warehouse

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

robotic-warehouse

Multi-Robot Warehouse (RWARE): A multi-agent reinforcement learning environment

IOVPR

This repository contains all code and data for the Inside Out Visual Place Recognition task

theme-academic-cv

🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.

PromptPapers

Must-read papers on prompt-based tuning for pre-trained language models.

OpenPrompt

An Open-Source Framework for Prompt-Learning.

BayesianDeepLearning-Survey

Bayesian Deep Learning: A Survey

awesome-cs-books

🔥 经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

dream

Decoupled Reward-free ExplorAtion and Execution for Meta-reinforcement learning

Leetcode

🎓Leetcode solutions in Python 📚

leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

oyster

Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)

PythonProgrammingPuzzles

A Dataset of Python Challenges for AI Research

handong1587.github.io

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

multilingual-t5

maddpg-pytorch

PyTorch Implementation of MADDPG (Lowe et. al. 2017)

pymarl

Python Multi-Agent Reinforcement Learning framework

deep-reinforcement-learning-family

for learning and researching on DRL

PyTorch-Counterfactual-Multi-Agent-Policy-Gradients-COMA

MARL

Implementation for mSAC methods in PyTorch

Counterfactual-Multi-Agent-Policy-Gradients

PyTorch implementation of Foerster, Jakob N., et al. "Counterfactual multi-agent policy gradients."

NDQ

Codes accompanying the paper "Learning Nearly Decomposable Value Functions with Communication Minimization" (ICLR 2020)