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music-recommender-engine

The purpose of this Personalized Music Recommendation Engine is to use reinforcement learning approach to build a music recommender system and to formulate the problem of interactive recommendation as a contextual multi-armed bandit, learning user preferences recommending new songs and receiving their ratings.

orl4rec

This is the implementation of RL4Rec

parl

A high-performance distributed training framework for Reinforcement Learning

pgpr

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

rec-rl

Reinforcement learning algorithms for recommendation.

rec-rl-1

recnn

Reinforced Recommendation toolkit built around pytorch 1.7

recommendation-system

Reinforcement Learning BPMF Highway_network

recommendation_system_using_rl_recsim

Explore the potential of recommendation system using reinforcement learning

recommender_system_via_deep_rl

The implemetation of Deep Reinforcement Learning based Recommender System from the paper Deep Reinforcement Learning based Recommendation with Explicit User-Item Interactions Modeling by Liu et al.

recommendersystems

recsys-rl

Course project for https://deeppavlov.ai/rl_course_2020

reproduce-of-top-k-off-policy-correction-for-a-reinforce-recommender-system

Reproduce of Top-K Off-Policy Correction for a REINFORCE Recommender System

rl-frenet-trajectory-planning-in-carla

rl-movie-recommender

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

rl-recommendation-system

Recommendation System using Deep Q-Networks and Double Deep Q-Networks

rl-recsys

RL Recommendation System

rl4recsys

paper list in the area of reinforcenment learning for recommendation systems

rl4rs

reinforcement learning for recommendation systems.

rl_carla

Train auto_car in CARLA simulator with RL algorithms(SAC).

rl_ddpg_recommendation

Project for Course : Reinforcement Learning

slateq

A comparison of Google SlateQ algorithm with traditional Reinforcement Learning algorithms

slateq-reproduction

Reproducing YouTube's slateQ algorithm described in the paper: https://arxiv.org/pdf/1905.12767.pdf optimizing the top-k recommendation experience for long term engagement.

slateq_from_scratch

tddpg-rec

The code to reproduce the experimental results for "A Text-based Deep Reinforcement Learning Framework for Interactive Recommendation".

tensorflow-tutorial

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

tutorials

机器学习相关教程