goldenair

AGGAN

Pytorch Implementation: Annealing Genetic GAN for Minority Oversampling (BMVC 2020)

ASEBO

Code to run the ASEBO algorithm from the paper: From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization... please get in touch if interested!!

ATHENA

ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis

AutoGAN

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

BC-regularized-GAIL

Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch

CDE-GAN

Codes for the paper "CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network" in TEVC, 2021

CE-GAN

cerl

Chuan-en-Hsu-Multi-task-Generative-Adversarial-Imitation-Learning

Confidence-Aware-Imitation-Learning

DagstuhlGAN

Deterministic-GAIL-PyTorch

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

DRL

Deep Reinforcement Learning

eel-gans

Evolutionary GANs (Generative) Ensembles Creation

EvoGAN

EvoGAN: Evolutionary Algorithm based Neural Architecture Search for Generative Adversarial Networks

Evolutionary-Reinforcement-Learning

Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018

fGAIL

For the project of f-GAIL

GAIL_pytorch

The implement of GAIL with pytorch

imitation-learning

Imitation learning algorithms

intro_ds_wy_course

《精通数据科学：从线性回归到深度学习》视频课程的配套资料

MAGAIL

Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning

MMES

MMES: Mixture Model based Evolution Strategy for Large-Scale Optimization

multiagent-gail

mustang

nputhesis

西北工业大学硕士/博士学位论文 LaTeX 模板

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).

qd-coegan

Code used in the experiments of the paper Exploring the Evolution of GANs through Quality Diversity https://gecco-2020.sigevo.org/

sam-pytorch

PyTorch implementation of "Sample-efficient Imitation Learning via Generative Adversarial Nets"

Stanford-CS-229-CN

A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译

TrajGAIL

This repository contains implementation details and codes for the TrajGAIL