Chao Yu

9 papers at tracked venues · 8 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

AAAI ×4 ICLR ×2 AAMAS ×1 ICML ×1 NeurIPS ×1

Frequent coauthors

Qian Lin

×6

Zongkai Liu

×5

Shenghong He

×2

Yile Liang

×2

Donghui Li

×2

Xuetao Ding

×2

Zifan Wu

×2

Shan Cong

×1

Xiangyuan Lan

×1

Kaiqiang Ke

×1

Hanlin Yang

×1

Jian Yao

×1

Papers

CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning
AAAI 2026 ·
Shan Cong
, Chao Yu,
Xiangyuan Lan
Reliability-Guaranteed and Reward-Seeking Sequence Modeling for Model-Based Offline Reinforcement Learning
AAAI 2026 ·
Shenghong He
, Chao Yu,
Qian Lin
,
Yile Liang
,
Donghui Li
,
Xuetao Ding
Conservative Offline Goal-Conditioned Implicit V-Learning
ICML 2025 ·
Kaiqiang Ke
,
Qian Lin
,
Zongkai Liu
,
Shenghong He
, Chao Yu
Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
ICLR 2025 ·
Hanlin Yang
,
Jian Yao
,
Weiming Liu
,
Qing Wang
,
Hanmin Qin
,
Hansheng Kong
,
Kirk Tang
,
Jiechao Xiong
, Chao Yu,
Kai Li
,
Junliang Xing
,
Hongwu Chen
,
Juchao Zhuo
,
Qiang Fu
,
Yang Wei
,
Haobo Fu
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
AAAI 2025 ·
Zongkai Liu
,
Qian Lin
, Chao Yu,
Xiawei Wu
,
Yile Liang
,
Donghui Li
,
Xuetao Ding
Rapid Learning in Constrained Minimax Games with Negative Momentum
AAAI 2025 ·
Zijian Fang
,
Zongkai Liu
, Chao Yu,
Chaohao Hu
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
NeurIPS 2024 ·
Qian Lin
,
Zongkai Liu
,
Danying Mo
, Chao Yu
Off-Policy Primal-Dual Safe Reinforcement Learning
ICLR 2024 ·
Zifan Wu
,
Bo Tang
,
Qian Lin
, Chao Yu,
Shangqin Mao
,
Qianlong Xie
,
Xingxing Wang
,
Dong Wang
Policy-regularized Offline Multi-objective Reinforcement Learning
AAMAS 2024 ·
Qian Lin
, Chao Yu,
Zongkai Liu
,
Zifan Wu