Pinned Repositories
AAAI_2025
code for anonymously submitted paper
awesome-free-chatgpt
🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.
awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
awesome-RLHF
A curated list of reinforcement learning with human feedback resources (continually updated)
CAP-policy
CAP Policy
CVPR2022-Papers-with-Code
CVPR 2022 论文和开源项目合集
deep-reinforcement-learning-for-multi-agent-coverage-path-planning-
Deep Reinforcement Learning for Image-Based Multi-Agent Coverage Path Planning
dynamic-weight
Dynamic Weights and Prior Reward in Policy Fusion for Compound Agent Learning
ECCV2022-Paper-Code-Interpretation
ECCV2022 论文/代码/解读合集，极市团队整理
lantern
Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 lantern proxy vpn censorship-circumvention censorship gfw accelerator
MengHsux's Repositories
MengHsux/deep-reinforcement-learning-for-multi-agent-coverage-path-planning-
Deep Reinforcement Learning for Image-Based Multi-Agent Coverage Path Planning
MengHsux/CVPR2022-Papers-with-Code
CVPR 2022 论文和开源项目合集
MengHsux/ECCV2022-Paper-Code-Interpretation
ECCV2022 论文/代码/解读合集，极市团队整理
MengHsux/lantern
Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 lantern proxy vpn censorship-circumvention censorship gfw accelerator
MengHsux/AAAI_2025
code for anonymously submitted paper
MengHsux/awesome-free-chatgpt
🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.
MengHsux/awesome-ml4co
Awesome machine learning for combinatorial optimization papers.
MengHsux/awesome-RLHF
A curated list of reinforcement learning with human feedback resources (continually updated)
MengHsux/CAP-policy
CAP Policy
MengHsux/dynamic-weight
Dynamic Weights and Prior Reward in Policy Fusion for Compound Agent Learning
MengHsux/Dynamic_sparse_training-for-Evolutionary-DRL
A unified dynamic sparse training framework for evolutionary DRL
MengHsux/FedLab
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
MengHsux/few-shot-lifelong-DRL
Policy Correction and State-Conditioned Action Evaluation for Few-Shot Lifelong Deep Reinforcement Learning
MengHsux/MRA
Time-Varying Weights in Multi-Reward Architecture for Deep Reinforcement Learning
MengHsux/Paper-with-Code-of-Wireless-communication-Based-on-DL
无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL
MengHsux/PFL-Non-IID
The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage of
MengHsux/learning_research
本人的科研经验