Pinned Repositories
996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
CharacterRecognition
DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
DRL_udacity
A explaintable and modified version of udacity DRL homework
ElegantRL
Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
GLQ
New multiagent reinforcement algorithm
gymnax
RL Environments in JAX 🌍
RMUA-Decision-RL
用强化学习实现决策
RoboMaster-University-AI-Challenge-with-RL
Robomaster University AI Challenge
luo-li-ba-suo's Repositories
luo-li-ba-suo/RoboMaster-University-AI-Challenge-with-RL
Robomaster University AI Challenge
luo-li-ba-suo/RMUA-Decision-RL
用强化学习实现决策
luo-li-ba-suo/gymnax
RL Environments in JAX 🌍
luo-li-ba-suo/996.ICU
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
luo-li-ba-suo/CharacterRecognition
luo-li-ba-suo/DeepLearning
深度学习入门教程, 优秀文章, Deep Learning Tutorial
luo-li-ba-suo/DnCNN
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
luo-li-ba-suo/DRL_udacity
A explaintable and modified version of udacity DRL homework
luo-li-ba-suo/ElegantRL
Scalable and Elastic Deep Reinforcement Learning Using PyTorch. Please star. 🔥
luo-li-ba-suo/GLQ
New multiagent reinforcement algorithm
luo-li-ba-suo/icp-block-mdp
Invariant Causal Prediction for Block MDPs
luo-li-ba-suo/luo-li-ba-suo
Config files for my GitHub profile.
luo-li-ba-suo/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
luo-li-ba-suo/meltingpot
A suite of test scenarios for multi-agent reinforcement learning.
luo-li-ba-suo/Pygame_Projects
luo-li-ba-suo/pymarl2-GLQ
Fine-tuned MARL algorithms with GLQ.
luo-li-ba-suo/Python
Demo and other Python3 code
luo-li-ba-suo/smac
SMAC: The StarCraft Multi-Agent Challenge
luo-li-ba-suo/Super-mario-bros-PPO-pytorch
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
luo-li-ba-suo/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
luo-li-ba-suo/TorchMAGrid
Pytorch-based lightweight vectorized multi-agent grid world environments for reinforcement learning
luo-li-ba-suo/VMAS-GA
VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.