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muyun1996 Goto Github PK

followers: 1.0 following: 7.0 repos: 33.0 gists: 0.0

Name: Mou Muyun

Type: User

Company: Beijing Normal University

Bio: I am Mou Muyun, a PhD candidate at Beijing Normal University, with research interests in modeling and controlling complex systems.

Location: Beijing Normal University

Mou Muyun's Projects

al-folio icon al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

deeprl_network icon deeprl_network

multi-agent deep reinforcement learning for networked system control.

dreamerv2 icon dreamerv2

Pytorch implementation of Dreamer-v2: Visual Model Based RL Algorithm.

dreamerv3 icon dreamerv3

Mastering Diverse Domains through World Models

grid2op icon grid2op

Grid2Op a testbed platform to model sequential decision making in power systems.

imma icon imma

Official code for "Interaction Modeling with Multiplex Attention" (Neurips 2022)

l2rpn-baselines icon l2rpn-baselines

L2RPN Baselines a repository to host baselines for l2rpn competitions.

mae icon mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

magent icon magent

An engine to create high performance multi-agent grid world environments with hundreds or thousands of agents, along with a set of reference environments

mamba icon mamba

This code accompanies the paper "Scalable Multi-Agent Model-Based Reinforcement Learning".

marl-papers icon marl-papers

Paper list of multi-agent reinforcement learning (MARL)

mwm icon mwm

Masked World Models for Visual Control

pydreamer icon pydreamer

PyTorch implementation of DreamerV2 model-based RL algorithm

pymarl icon pymarl

Python Multi-Agent Reinforcement Learning framework

pytorch-vae icon pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

pytorch_dgn icon pytorch_dgn

The pytorch implementation of DGN on grid world and Starcraft

sgcn icon sgcn

Code for "SGCN:Sparse Graph Convolution Network for Pedestrian Trajectory Prediction" CVPR 2021

slm-lab icon slm-lab

Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

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