Pinned Repositories
akro
Spaces types for reinforcement learning
BODS
A Bayesian optimization framework specifically designed for supporting decision-making under scenario and utility uncertainty.
BOPU
A Bayesian-optimization-based framework for supporting decision-making under preference uncertainty.
cme213-spring-2021
CME 213 Spring 2021
Cornell-MOE
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
deepxde
A library for scientific machine learning and physics-informed learning
dowel
A little logger for machine learning research
DRL_CLRM
Deep reinforcement learning for closed-loop reservoir management
DRL_Mult-Asset_CLRM
Multi-asset closed-loop reservoir management using deep reinforcement learning
yus-nas's Repositories
yus-nas/DRL_CLRM
Deep reinforcement learning for closed-loop reservoir management
yus-nas/akro
Spaces types for reinforcement learning
yus-nas/BODS
A Bayesian optimization framework specifically designed for supporting decision-making under scenario and utility uncertainty.
yus-nas/BOPU
A Bayesian-optimization-based framework for supporting decision-making under preference uncertainty.
yus-nas/cme213-spring-2021
CME 213 Spring 2021
yus-nas/Cornell-MOE
A Python library for the state-of-the-art Bayesian optimization algorithms, with the core implemented in C++.
yus-nas/DeepRL
Modularized Implementation of Deep RL Algorithms in PyTorch
yus-nas/deepxde
A library for scientific machine learning and physics-informed learning
yus-nas/dowel
A little logger for machine learning research
yus-nas/DRL_Mult-Asset_CLRM
Multi-asset closed-loop reservoir management using deep reinforcement learning
yus-nas/DRL_Practical_CLRM
Practical closed-loop reservoir management using deep reinforcement learning
yus-nas/EclGym
Reservoir Simulation environment for Reinforcement Learning. Eclipse Integration for Gym toolkit.
yus-nas/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
yus-nas/garage
A toolkit for reproducible reinforcement learning research
yus-nas/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
yus-nas/ICLR2020-PADGN
Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum?id=r1gelyrtwH).
yus-nas/LSTNet_keras
Keras version of LSTNet
yus-nas/metaworld
An open source robotics benchmark for meta- and multi-task reinforcement learning
yus-nas/Notes-of-Reinforcement-Learning-An-Introduction-2nd-Edition
yus-nas/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
yus-nas/TD3
PyTorch implementation of TD3 and DDPG for OpenAI gym tasks
yus-nas/transformer-physx
Transformers for modeling physical systems
yus-nas/TwoStep-BayesOpt
NeurIPS 2019 Paper