wanghuimu

DRL4Recsys

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

Sparse-Reward-Algorithms

Implement many Sparse Reward algorithms in Gym Fetch environment

apple-store-helper

Apple Store iPhone预约助手

Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

Batch-Offline--RL-Paper-Lists

Paper Collection for Batch RL with brief introductions.

CGCDemandPrediction

damarl

Codes for Paper "Delay-Aware Multi-Agent Reinforcement Learning".

Deep-RL-Notes

A collection of comprehensive notes on Deep Reinforcement Learning, based on UC Berkeley's CS 285 (prev. CS 294-112)

DeepClustering

Methods and Implements of Deep Clustering

deeprl_network

multi-agent deep reinforcement learning for networked system control.

DOP

Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (https://arxiv.org/abs/2007.12322)

exact-k-recommendation

football-paris

The exact codes used by the team "liveinparis" at the kaggle football competition ranked 8th/1141

GroupIM

Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)

gumbel_lstm

Experiments with binary LSTM using gumbel-sigmoid

HuimuWang

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

jd_seckill

京东茅台抢购，不支持其他商品！愿大家与黄牛站在同一个起跑线，公平的参与这场抢茅大赛。

LeetCodeAnimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

LIRD

Deep Reinforcement Learning for Movies Recommendation System

MaCA

Meta-MAGIC

minimalRL

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Multi-Agent-Coordination-Google-Football

Coordination between Deep RL Agents for Virtual Football

multiagent_gnn_policies

Learning multi-agent policies for flocking using graph neural networks

on-policy

This is the official implementation of Multi-Agent PPO.

pymarl2

Rethinking the Importance of Implementation Tricks in Multi-Agent Reinforcement Learning

ReAgent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

RSPapers

A Curated List of Must-read Papers on Recommender System.

StarCraft

Implementations of QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II

VBC

pytorch implementation of "Efficient Communication in Multi-Agent Reinforcement Learning via Variance Based Control"