PhD student on reinforcement learning.
Repositories
hejm37/lab-website
hejm37/da-ac
Code for Distributions as Actions: A Unified Framework for Diverse Action Spaces.
hejm37/da-ac-hybrid
Hybrid control code for Distributions as Actions: A Unified Framework for Diverse Action Spaces.
hejm37/lc-etd
hejm37/.cfg
Dotfiles for linux packages like oh-my-zsh, tmux, etc.
hejm37/mmcv
Open MMLab Computer Vision Foundation
hejm37/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.
hejm37/mmediting
Open MMLab image and video editing toolbox
hejm37/commentClassification
Project for Data Analysis
hejm37/dockers
Some frequently used dockers
hejm37/mmdetection
Open MMLab Detection Toolbox and Benchmark
hejm37/jm-tools
Personal python toolbox
hejm37/GRLRS
Genre-based Reinforcement Learning for Large-scale Interactive Recommendation
hejm37/EXTRA
An implementation of EXTRA algorithm.
hejm37/runner
job runner
hejm37/TPGR
python implementation of the TPGR
hejm37/sysu-planner
sparkle planning challenge
hejm37/benchmark-domains
Selected benchmark domains for sysu-planner
hejm37/latex_GAN
Homework for Reading and Writing of Scientific Papers - Fall 2018 SYSU
hejm37/optimization-project
Homework for optimization Convex optimization and operations research - Fall 2018 SYSU
hejm37/HWOfDataAnalysis
Homework of Data Analysis - Fall 2018
hejm37/BFWS-public
hejm37/lab
Duplicate from http://lab.readthedoc.io/
hejm37/downward-benchmarks
Transport from https://bitbucket.org/aibasel/downward-benchmarks
hejm37/LAPKT-public
LAPKT public repository