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Code accompanying the paper "Action Robust Reinforcement Learning and Applications in Continuous Control" https://arxiv.org/abs/1901.09184
Bayesian Reward Shaping Framework for Deep Reinforcement Learning
Targeted black-box adversarial attack using Bayesian Optimization
a simple book recommendation application
Bayesian optimization in PyTorch
[ICML 2020] PyTorch Code for "Efficient Continuous Pareto Exploration in Multi-Task Learning"
[ICRA19] Crowd-aware Robot Navigation with Attention-based Deep Reinforcement Learning
Dataset Batch(offline) Reinforcement Learning for recommender system
PyTorch implementations of deep reinforcement learning algorithms and environments
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, ASAC, TAC, ATAC)
This repo is the implementation of "Fear-Neuro-Inspired Reinforcement Learning for Safe Autonomous Driving".
Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"
Code for "Actor-Attention-Critic for Multi-Agent Reinforcement Learning" ICML 2019
constrained/unconstrained multi-objective bayesian optimization package.
Multi-objective Bayesian optimization
A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning
[ICML 2020] Prediction-Guided Multi-Objective Reinforcement Learning for Continuous Robot Control
POMDPs in Python.
This repo is the implementation of "Personalized Robotic Control via Constrained Multi-Objective Reinforcement Learning"
A pytorch implementation of MADDPG (multi-agent deep deterministic policy gradient)
Code associated with our paper "Estimating Risk and Uncertainty in Reinforcement Learning"
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: a Robust Bayesian Optimization framework
[NeurIPS 2020] State-adversarial DDPG for robust deep reinforcement learning
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.