Pinned Repositories
ActionRobustRL
Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.09184
Adversarial-Counterfactual-Learning-and-Evaluation-for-Recommender-System
bayesian-reward-shaping
Bayesian Reward Shaping Framework for Deep Reinforcement Learning
BayesOpt_Attack
Targeted black-box adversarial attack using Bayesian Optimization
book-recommendation-system
a simple book recommendation application
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
SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch.
Agent-Only's Repositories
Agent-Only/book-recommendation-system
a simple book recommendation application
Agent-Only/SLM-Lab
Modular Deep Reinforcement Learning framework in PyTorch.
Agent-Only/Adversarial-Counterfactual-Learning-and-Evaluation-for-Recommender-System
Agent-Only/BayesOpt_Attack
Targeted black-box adversarial attack using Bayesian Optimization
Agent-Only/botorch
Bayesian optimization in PyTorch
Agent-Only/ContinuousParetoMTL
[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"
Agent-Only/CrowdNav
[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
Agent-Only/DBRL
Dataset Batch(offline) Reinforcement Learning for recommender system
Agent-Only/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Agent-Only/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Agent-Only/deep_rl
PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, ASAC, TAC, ATAC)
Agent-Only/FNI-RL
This repo is the implementation of "Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving".
Agent-Only/Generative-Adversarial-User-Model-for-Reinforcement-Learning-Based-Recommendation-System-Pytorch
Agent-Only/MAAC
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
Agent-Only/MOBO
constrained/unconstrained multi-objective bayesian optimization package.
Agent-Only/MOBOpt
Multi-objective Bayesian optimization
Agent-Only/Model-Based-Reinforcement-Learning-for-Online-Recommendation
A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.
Agent-Only/open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Agent-Only/ParetoMTL
Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning
Agent-Only/PGMORL
[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
Agent-Only/PRC-CMORL
This repo is the implementation of "Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning"
Agent-Only/RecommenderSystems
Agent-Only/risk-and-uncertainty
Code associated with our paper "Estimating Risk and Uncertainty in Reinforcement Learning"
Agent-Only/RL-PyT
This repository contains PyTorch implementations of reinforcement learning algorithms. Its purpose is to provide straightforward and easily understandable code for individuals to learn about basic reinforcement learning algorithms.
Agent-Only/SA_DDPG
[NeurIPS 2020] State-adversarial DDPG for robust deep reinforcement learning
Agent-Only/SD-GAR
This repository hosts the experimental code for NeurIPS 2020 paper "Sampling-Decomposable Generative Adversarial Recommender".
Agent-Only/social_empowerment
Agent-Only/StateAdvDRL
[NeurIPS 2020, Spotlight]Code for "Robust Deep Reinforcement Learning against Adversarial Perturbations on Observations"
Agent-Only/Transformers-RL
An easy PyTorch implementation of "Stabilizing Transformers for Reinforcement Learning"
Agent-Only/TransGAN
[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang