Multi-Agent Reinforcement Learning Research

Q4 2026 (Sep - Dec 2026)

G1: Literature Review & Gap Analysis

• Status: in-progress
• Priority: high
• TitleZh: 文献调研与研究空白分析
• Description: Complete comprehensive review of recent MARL papers (2024-2026), identify research gaps
• DescriptionZh: 完成2024-2026年MARL论文的综合综述，识别研究空白

G2: Research Problem Formulation

• Status: pending
• Priority: high
• TitleZh: 研究问题定义
• Description: Define specific research questions based on gap analysis
• DescriptionZh: 基于空白分析确定具体研究问题

G3: Baseline Implementation Setup

• Status: pending
• Priority: medium
• TitleZh: 基线实现环境搭建
• Description: Set up MARL baselines (MAPPO, QMIX, QMIX) in pettingzoo/ma-gym
• DescriptionZh: 在pettingzoo/ma-gym中搭建MARL基线(MAPPO, QMIX, QMIX)

Q1 2027 (Jan - Mar 2027)

G4: Novel Algorithm Design

• Status: pending
• Priority: high
• TitleZh: 新型算法设计
• Description: Design and implement novel MARL algorithm addressing identified gaps
• DescriptionZh: 设计与实现针对已识别空白的新型MARL算法

G5: Experimental Evaluation

• Status: pending
• Priority: high
• TitleZh: 实验评估
• Description: Run comprehensive experiments on benchmark tasks
• DescriptionZh: 在基准任务上运行综合实验

G6: Paper Writing & Submission

• Status: pending
• Priority: medium
• TitleZh: 论文撰写与投稿
• Description: Write paper and submit to NeurIPS/ICML
• DescriptionZh: 撰写论文并投稿至NeurIPS/ICML