Tian Lan

10 papers at tracked venues · 7 at CORE A* · active 2024–2026

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Venues

AAAI ×3 NeurIPS ×2 AAMAS ×1 ACL ×1 ICAPS ×1 ICLR ×1 IJCAI ×1

Frequent coauthors

Hanhan Zhou

×4

Jiayu Chen

×3

Yongsheng Mei

×3

Sizhe Tang

×2

Mahdi Imani

×2

Vaneet Aggarwal

×2

Jingdi Chen

×2

Carlee Joe-Wong

×2

Yu Li

×1

Zuyuan Zhang

×1

Taeyoung Lee

×1

Chang-Lin Chen

×1

Papers

Reason in Chains, Learn in Trees: Self-Rectification and Grafting for Multi-turn Agent Policy Optimization
ACL 2026 ·
Yu Li
,
Sizhe Tang
, Tian Lan
Learning to Collaborate with Unknown Agents in the Absence of Reward
AAAI 2025 ·
Zuyuan Zhang
,
Hanhan Zhou
,
Mahdi Imani
,
Taeyoung Lee
, Tian Lan
MALinZero: Efficient Low-Dimensional Search for Mastering Complex Multi-Agent Planning
NeurIPS 2025 ·
Sizhe Tang
,
Jiayu Chen
, Tian Lan
Rack Position Optimization in Large-Scale Heterogeneous Data Centers
ICAPS 2025 ·
Chang-Lin Chen
,
Jiayu Chen
, Tian Lan,
Zhaoxia Zhao
,
Hongbo Dong
,
Vaneet Aggarwal
Variational Offline Multi-agent Skill Discovery
IJCAI 2025 ·
Jiayu Chen
, Tian Lan,
Vaneet Aggarwal
Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data
ICLR 2024 ·
Yongsheng Mei
,
Mahdi Imani
, Tian Lan
ConcaveQ: Non-monotonic Value Function Factorization via Concave Representations in Deep Multi-Agent Reinforcement Learning
AAAI 2024 ·
Huiqun Li
,
Hanhan Zhou
,
Yifei Zou
,
Dongxiao Yu
, Tian Lan
Projection-Optimal Monotonic Value Function Factorization in Multi-Agent Reinforcement Learning
AAMAS 2024 ·
Yongsheng Mei
,
Hanhan Zhou
, Tian Lan
RGMComm: Return Gap Minimization via Discrete Communications in Multi-Agent Reinforcement Learning
AAAI 2024 ·
Jingdi Chen
, Tian Lan,
Carlee Joe-Wong
RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space
NeurIPS 2024 ·
Jingdi Chen
,
Hanhan Zhou
,
Yongsheng Mei
,
Carlee Joe-Wong
,
Gina C. Adam
,
Nathaniel D. Bastian
, Tian Lan