GitHub topics: aaai-2024
mayuelala/FollowYourPose
[AAAI 2024] Follow-Your-Pose: This repo is the official implementation of "Follow-Your-Pose : Pose-Guided Text-to-Video Generation using Pose-Free Videos"
Language: Python - Size: 271 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 1,316 - Forks: 93
CASIA-IVA-Lab/FLAP
[AAAI 2024] Fluctuation-based Adaptive Structured Pruning for Large Language Models
Language: Python - Size: 987 KB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 50 - Forks: 13
doujiang-zheng/Awesome-Graph-Learning-Papers-List
Advances on machine learning of graphs, covering the reading list of recent top academic conferences.
Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 185 - Forks: 18
CognitiveAISystems/learn-to-follow
[AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follower approach utilizes a combination of a planning algorithm for constructing a long-term plan and reinforcement learning for resolving local conflicts.
Language: C++ - Size: 51.2 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0
CognitiveAISystems/mats-lp
[AAAI-2024] MATS-LP addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed approach utilizes a combination of Monte Carlo Tree Search and reinforcement learning for resolving conflicts.
Language: C++ - Size: 668 KB - Last synced at: 7 months ago - Pushed at: 8 months ago - Stars: 1 - Forks: 0
Cognitive-AI-Systems/learn-to-follow
[AAAI-2024] Follower: This study addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed Follower approach utilizes a combination of a planning algorithm for constructing a long-term plan and reinforcement learning for resolving local conflicts.
Language: C++ - Size: 51.2 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 37 - Forks: 2
Cognitive-AI-Systems/mats-lp
[AAAI-2024] MATS-LP addresses the challenging problem of decentralized lifelong multi-agent pathfinding. The proposed approach utilizes a combination of Monte Carlo Tree Search and reinforcement learning for resolving conflicts.
Language: C++ - Size: 716 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 19 - Forks: 0
SJTU-DMTai/SUNNY-GNN
The official implementation of AAAI'24 paper: Self-Interpretable Graph Learning with Sufficient and Necessary Explanations.
Language: Python - Size: 6.01 MB - Last synced at: 10 months ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 1
