dianalyx

MARL_LES

Repository for data and scripts of "Automating Turbulence Modeling by Multi-Agent Reinforcement Learning"

pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

PyTorch-RL

PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

pytorch-trpo

PyTorch implementation of Trust Region Policy Optimization

revisiting-ppo

GAC

Code accompanying NeurIPS 2019 paper: "Distributional Policy Optimization - An Alternative Approach for Continuous Control"

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Deep-Reinforcement-Learning-Algorithms-with-PyTorch

PyTorch implementations of deep reinforcement learning algorithms and environments

cvxpylayers

Differentiable convex optimization layers

robust-nn-control

Enforcing robust control guarantees within neural network policies

Cylinder2DFlowControlGeneral

Robust active flow control over a range of Reynolds numbers using artificial neural network trained through deep reinforcement learning

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

deep_rl

PyTorch implementation of deep reinforcement learning algorithms

Cylinder2DFlowControlDRL

code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning

CS234-Reinforcement-Learning-Winter-2019

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

RigidMultiblobsWall

Multiblob method for rigid bodies

stanford-cs229

These are my solutions to the problem sets for Stanford's Machine Learning class - cs229

COVID-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

Covid19-Analysis

Visualization that can best represent the correlation of State, Gender and Age.

computer-science-flash-cards

Mini website for testing both general CS knowledge and enforce coding practice and common algorithm/data structure memorization.

coding-interview-university

A complete computer science study plan to become a software engineer.

PyBoy

Game Boy emulator written in Python

texstudio

TeXstudio is a fully featured LaTeX editor. Our goal is to make writing LaTeX documents as easy and comfortable as possible.

matplotlib

matplotlib: plotting with Python

stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

rlai-exercises

Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

ml-ng

Implementation of machine learning algorithms with octave - exercises for Andrew Ng's machine learning course on Coursera