Mupupup's repositories
deep-reinforcement-learning-for-multi-agent-coverage-path-planning-
Deep Reinforcement Learning for Image-Based Multi-Agent Coverage Path Planning
CVPR2022-Papers-with-Code
CVPR 2022 论文和开源项目合集
ECCV2022-Paper-Code-Interpretation
ECCV2022 论文/代码/解读合集，极市团队整理
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
dynamic-weight
Dynamic Weights and Prior Reward in Policy Fusion for Compound Agent Learning
Dynamic_sparse_training-for-Evolutionary-DRL
A unified dynamic sparse training framework for evolutionary DRL
FedLab
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
few-shot-lifelong-DRL
Policy Correction and State-Conditioned Action Evaluation for Few-Shot Lifelong Deep Reinforcement Learning
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
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
learning_research
本人的科研经验