ShenQianli's Stars
DLR-RM/stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
google-research/arxiv-latex-cleaner
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
AI4Finance-Foundation/ElegantRL
Massively Parallel Deep Reinforcement Learning. 🔥
lululxvi/deepxde
A library for scientific machine learning and physics-informed learning
Farama-Foundation/Minigrid
Simple and easily configurable grid world environments for reinforcement learning
NaiboWang/CommandlineConfig
A library for users to write (experiment in research) configurations in Python Dict or JSON format, read and write parameter value via dot . in code, while can read parameters from the command line to modify values. 一个供用户以Python Dict或JSON格式编写(科研中实验)配置的库,在代码中用点.读写属性,同时可以从命令行中读取参数配置并修改参数值。
takuseno/d3rlpy
An offline deep reinforcement learning library
hanjuku-kaso/awesome-offline-rl
An index of algorithms for offline reinforcement learning (offline-rl)
idrl-lab/PINNpapers
Must-read Papers on Physics-Informed Neural Networks.
facebookresearch/torchbeast
A PyTorch Platform for Distributed RL
YuxinWenRick/hard-prompts-made-easy
google-research/batch_rl
Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games
aviralkumar2907/CQL
Code for conservative Q-learning
zdhNarsil/Awesome-GFlowNets
A curated list of resources about generative flow networks (GFlowNets).
WilsonWangTHU/mbbl
oneHuster/Meta-Learning-Papers
A classified list of meta learning papers based on realm.
david-abel/simple_rl
A simple framework for experimenting with Reinforcement Learning in Python.
xbpeng/awr
Implementation of advantage-weighted regression.
aviralkumar2907/BEAR
Code for Stabilizing Off-Policy RL via Bootstrapping Error Reduction
Crunch-UQ4MI/neuraluq
pokaxpoka/sunrise
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
GFNOrg/EB_GFN
Code for our paper "Generative Flow Networks for Discrete Probabilistic Modeling"
Kaffaljidhmah2/Arxiv-Recommender
nblt/DLDR
[TPAMI 2023] Low Dimensional Landscape Hypothesis is True: DNNs can be Trained in Tiny Subspaces
benchopt/benchmark_bilevel
Benchmark for bi-level optimization solvers
sony/fp-diffusion
enric1994/arxiv.black
Enjoy dark mode on Arxiv papers
kaiyuanmifen/GFNDropout
ShenQianli/PICProp
Official implementation of PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification (NeurIPS 2023)
vdblm/Human-Machine-MDP