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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

drl_practical_clrm

Practical closed-loop reservoir management using deep reinforcement learning

eclgym

Reservoir Simulation environment for Reinforcement Learning. Eclipse Integration for Gym toolkit.

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.

garage

A toolkit for reproducible reinforcement learning research

graphsage

Representation learning on large graphs using stochastic graph convolutions.

iclr2020-padgn

Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum?id=r1gelyrtwH).

lstnet_keras

Keras version of LSTNet

metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

notes-of-reinforcement-learning-an-introduction-2nd-edition

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

td3

PyTorch implementation of TD3 and DDPG for OpenAI gym tasks

transformer-physx

Transformers for modeling physical systems

twostep-bayesopt

NeurIPS 2019 Paper