Implementation of hypernetwork augmented Actor-Critic in multi-objective reinforcement learning for MsC Thesis: "Generalizing Pareto optimal policies in multi-objective reinforcement learning"
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Updated
Jul 14, 2024 - Python
Implementation of hypernetwork augmented Actor-Critic in multi-objective reinforcement learning for MsC Thesis: "Generalizing Pareto optimal policies in multi-objective reinforcement learning"
Hypernetworks in keras using tensorflow 2.0 as backend using custom layers and models.
Model reduction via neural network pruning on NIF.
NN research library built on torch
My bachelor thesis in Computer Science, "Hypernetwork-PPO for Continual Reinforcement Learning".
over-parameterization = exploration ?
This repository contains the code for the paper: Utilizing the Untapped Potential of Indirect Encoding for Neural Networks with Meta Learning
PyTorch code for our CIKM 2022 paper "Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty"
A PyTorch Library for Learning Pareto Front of Multi-Objective Problem
Code for Recursive Neural Programs: A differentiable framework for learning compositional part-whole hierarchies and image grammars
SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence
Explainable deep networks that are not only as accurate as their black-box deep-learning counterparts but also as interpretable as state-of-the-art explanation techniques.
Guide to implementing hypernetworks in keras using tensorflow 2.0 as backend
The official implementation of the "Modeling 3D Surface Manifolds with a Locally Conditioned Atlas" paper
本项目是基于stable-diffusion-webui,通过pixiv图片训练得到的纳西妲模型
Code for "HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets"
Code for AAAI 2023 paper "Hypernetworks for Zero-shot Transfer in Reinforcement Learning"
Implementation of a holodeck, written in Pytorch
The official implementation of the "Hypernetwork approach to generating point clouds" paper
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