HXK-Only

book-recommendation-system

a simple book recommendation application

SLM-Lab

Modular Deep Reinforcement Learning framework in PyTorch.

Adversarial-Counterfactual-Learning-and-Evaluation-for-Recommender-System

BayesOpt_Attack

Targeted black-box adversarial attack using Bayesian Optimization

botorch

Bayesian optimization in PyTorch

ContinuousParetoMTL

[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"

CrowdNav

[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning

DBRL

Dataset Batch(offline) Reinforcement Learning for recommender system

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

deep_rl

PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, ASAC, TAC, ATAC)

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

GenerativeAdversarialUserModel

Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"

MAAC

Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019

MOBO

constrained/unconstrained multi-objective bayesian optimization package.

MOBOpt

Multi-objective Bayesian optimization

Model-Based-Reinforcement-Learning-for-Online-Recommendation

A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.

open_spiel

OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.

ParetoMTL

Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning

PGMORL

[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control

POMDPy

POMDPs in Python.

RecommenderSystems

risk-and-uncertainty

Code associated with our paper "Estimating Risk and Uncertainty in Reinforcement Learning"

SA_DDPG

[NeurIPS 2020] State-adversarial DDPG for robust deep reinforcement learning

SD-GAR

This repository hosts the experimental code for NeurIPS 2020 paper "Sampling-Decomposable Generative Adversarial Recommender".

social_empowerment

StateAdvDRL

[NeurIPS 2020, Spotlight]Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"

Structure-aware-interactive-Recommender-System---Python---Reinforcement-Learning

Transformers-RL

An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"

TransGAN

[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang