HeyuanMingong

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

DiffusionQL

heyuanmingong.github.io

Personal Homepage

irl

Code for "Incremental reinforcement learning"

irl_cs

Code for "Incremental Reinforcement Learning in Continuous Spaces"

iwies

Code for "Instance Weighted Incremental Evolution Strategies (IW-IES)"

llirl

Code for "LifeLong Incremental Reinforcement Learning (LLIRL)"

PPO-PyTorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

sllrl

Code for "Scalable lifelong reinforcement learning"

VIB-pytorch

Pytorch implementation of Deep Variational Information Bottleneck

HeyuanMingong/llirl

Code for "LifeLong Incremental Reinforcement Learning (LLIRL)"

HeyuanMingong/irl

Code for "Incremental reinforcement learning"

HeyuanMingong/iwies

Code for "Instance Weighted Incremental Evolution Strategies (IW-IES)"

HeyuanMingong/heyuanmingong.github.io

Personal Homepage

HeyuanMingong/irl_cs

Code for "Incremental Reinforcement Learning in Continuous Spaces"

HeyuanMingong/sllrl

Code for "Scalable lifelong reinforcement learning"

HeyuanMingong/DiffusionQL

HeyuanMingong/PPO-PyTorch

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

HeyuanMingong/VIB-pytorch

Pytorch implementation of Deep Variational Information Bottleneck

HeyuanMingong/attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

HeyuanMingong/dgr

PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017

HeyuanMingong/OLPS

Online Portfolio Selection toolbox

HeyuanMingong/random-network-distillation-pytorch

Random Network Distillation pytorch

HeyuanMingong/Survey_PortfolioSelection

Online portfolio selection is a fundamental problem in computational finance, which has been extensively studied across several research communities, including finance, statistics, artificial intelligence, machine learning, and data mining, etc. This article aims to provide a comprehensive survey and a structural understanding of published online portfolio selection techniques.

HeyuanMingong/attention-learn-to-route

Attention based model for learning to solve different routing problems

HeyuanMingong/CORRO

CORRO code

HeyuanMingong/ddpm2

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

HeyuanMingong/decision-diffuser

HeyuanMingong/decision-transformer

Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

HeyuanMingong/denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

HeyuanMingong/DIAYN-PyTorch

Diversity is All You Need: Learning Skills without a Reward Function in PyTorch.

HeyuanMingong/diffuser

Code for the paper "Planning with Diffusion for Flexible Behavior Synthesis"

HeyuanMingong/GAN

PyTorch implementations of Generative Adversarial Networks.

HeyuanMingong/MTDiff

MTDiff

HeyuanMingong/pearl

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

HeyuanMingong/pytorch-soft-actor-critic

PyTorch implementation of soft actor critic

HeyuanMingong/SfBC

Codes accompanying the paper "Offline Reinforcement Learning via High-Fidelity Generative Behavior Modeling" (ICLR 2023) https://arxiv.org/abs/2209.14548

HeyuanMingong/varibad

Implementation of VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning - Zintgraf et al. (ICLR 2020)