Pinned Repositories
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
multii-agent
MIT的多智能体项目
goldenair's Repositories
goldenair/AGGAN
Pytorch Implementation: Annealing Genetic GAN for Minority Oversampling (BMVC 2020)
goldenair/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!!
goldenair/ATHENA
ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis
goldenair/AutoGAN
[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang
goldenair/BC-regularized-GAIL
Official implementation of the paper `Augmenting GAIL with BC for sample efficient imitation learning` in PyTorch
goldenair/CDE-GAN
Codes for the paper "CDE-GAN: Cooperative Dual Evolution Based Generative Adversarial Network" in TEVC, 2021
goldenair/CE-GAN
goldenair/cerl
goldenair/Chuan-en-Hsu-Multi-task-Generative-Adversarial-Imitation-Learning
goldenair/Confidence-Aware-Imitation-Learning
goldenair/DagstuhlGAN
goldenair/Deterministic-GAIL-PyTorch
PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning
goldenair/DRL
Deep Reinforcement Learning
goldenair/eel-gans
Evolutionary GANs (Generative) Ensembles Creation
goldenair/EvoGAN
EvoGAN: Evolutionary Algorithm based Neural Architecture Search for Generative Adversarial Networks
goldenair/Evolutionary-Reinforcement-Learning
Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018
goldenair/fGAIL
For the project of f-GAIL
goldenair/GAIL_pytorch
The implement of GAIL with pytorch
goldenair/imitation-learning
Imitation learning algorithms
goldenair/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
goldenair/MAGAIL
Pytorch implementation of Multi-Agent Generative Adversarial Imitation Learning
goldenair/MMES
MMES: Mixture Model based Evolution Strategy for Large-Scale Optimization
goldenair/multiagent-gail
goldenair/mustang
goldenair/nputhesis
西北工业大学硕士/博士学位论文 LaTeX 模板
goldenair/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).
goldenair/qd-coegan
Code used in the experiments of the paper Exploring the Evolution of GANs through Quality Diversity https://gecco-2020.sigevo.org/
goldenair/sam-pytorch
PyTorch implementation of "Sample-efficient Imitation Learning via Generative Adversarial Nets"
goldenair/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
goldenair/TrajGAIL
This repository contains implementation details and codes for the TrajGAIL