Stars
Official implementation of HARL algorithms based on PyTorch.
PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.
A Beamer Theme of PKU for academic report, thesis and talk.
Official code implementation of AAAI 2024 paper "StockMixer: A Simple yet Strong MLP-based Architecture for Stock Price Forecasting".
Lightweight version of MAPPO to help you quickly migrate to your local environment.
python-microgrid is a python library to generate and simulate a large number of microgrids.
This is the official implementation of Multi-Agent PPO (MAPPO).
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
CS-BAOYAN / CS-BAOYAN-2024
Forked from CS-BAOYAN/CS-BAOYAN-20232024年保研经验贴和相关物料
SASRec: Self-Attentive Sequential Recommendation
Official Code for reproductivity of the NeurIPS 2023 paper: Adversarial Examples Are Not Real Features
DRGR: Deep Reinforcement learning based Group Recommender system
Sequential recommendation based on Actor-Critic Algorithm
KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation
Author's PyTorch implementation of TD3 for OpenAI gym tasks
[CVPR 2024] The official implementation for "MS-DETR: Efficient DETR Training with Mixed Supervision"
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI