Research map / Multi-agent systems and games / Cooperative multi-agent RL
Conditional Diffusion Model for Multi-Agent Dynamic Task Decomposition
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning (NeurIPS 2023 · similarity 0.90)
- LDSA: Learning Dynamic Subtask Assignment in Cooperative Multi-Agent Reinforcement Learning (NeurIPS 2022 · similarity 0.89)
- Hierarchical Subtask Discovery with Non-Negative Matrix Factorization (ICLR 2018 · similarity 0.88)
- Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation (ICLR 2025 · similarity 0.87)
- Task-Agnostic Pre-training and Task-Guided Fine-tuning for Versatile Diffusion Planner (ICML 2025 · similarity 0.87)
- Attention-Guided Contrastive Role Representations for Multi-agent Reinforcement Learning (ICLR 2024 · similarity 0.86)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.