goldenair Goto Github PK

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

eda

simulate EDA

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

gasil

Independent Generative Adversarial Self-Imitation Learning In Cooperative Multiagent Systems

goldenair.github.io

技术成长记录，欢迎讨论

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

multii-agent

MIT的多智能体项目

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).