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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

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)

fni-rl

This repo is the implementation of "Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving".

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.

prc-cmorl

This repo is the implementation of "Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning"

pytorch-maddpg

A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)

recommendersystems

risk-and-uncertainty

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

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.

robo

RoBO: a Robust Bayesian Optimization framework

sa_ddpg

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