caoxixiya

mappo_mpe

MPE for mappo

awesome-rl-envs

AI-Researcher

ARM

Q-attention (within the ARM system) and coarse-to-fine Q-attention (within C2F-ARM system).

awesome-game-ai

Awesome Game AI materials of Multi-Agent Reinforcement Learning

CL

Explainable-Recommendations-through-Deep-Reinforcement-Learning

Generative-Adversarial-User-Model-for-Reinforcement-Learning-Based-Recommendation-System-Pytorch

GloMatch

【KDD2021】Globally Optimized Matchmaking in Online Games

HRL-Rec

"Hierarchical Reinforcement Learning for Integrated Recommendation" (AAAI 2021) https://ojs.aaai.org/index.php/AAAI/article/view/16580

KERL

KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation

MaCA

mappo_env

mini_apt

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

NRNS

Official implementation of the NRNS paper

objectnav

Resources for Auxiliary Tasks and Exploration Enable ObjectNav

OfflineRlWorkflow

on-policy

This is the official implementation of Multi-Agent PPO (MAPPO).

PARL

A high-performance distributed training framework for Reinforcement Learning

PARL-experiments

Experiments results of PARL

powergym

A Gym-like environment for Volt-Var control in power distribution systems.

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.

RoadnetSZ

RSPapers

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

SAIL

[IJCAI 2021] Robust Adversarial Imitation Learning via Adaptively-Selected Demonstrations

sample_city

SGL

unicorn

The implementation of Unified Conversational Recommendation Policy Learning via Graph-based Reinforcement Learning (SIGIR 2021).

WGAIL

[ICML 2021] Learning to Weight Imperfect Demonstrations