P
PaperPicks
Conferences
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
DBLP profile ↗
ORCID search ↗
×2
Shan Cong
DBLP profile ↗
ORCID search ↗
×1
Shenghong He
DBLP profile ↗
ORCID search ↗
×1
Kaiqiang Ke
DBLP profile ↗
ORCID search ↗
×1
Hanlin Yang
DBLP profile ↗
ORCID search ↗
×1
Zongkai Liu
DBLP profile ↗
ORCID search ↗
×1
Zijian Fang
DBLP profile ↗
ORCID search ↗
×1
Zifan Wu
DBLP profile ↗
ORCID search ↗
×1
Papers
CATAL: Causally Disentangled Task Representation Learning for Offline Meta-Reinforcement Learning
AAAI 2026
·
Shan Cong
DBLP profile ↗
ORCID search ↗
Reliability-Guaranteed and Reward-Seeking Sequence Modeling for Model-Based Offline Reinforcement Learning
AAAI 2026
·
Shenghong He
DBLP profile ↗
ORCID search ↗
Conservative Offline Goal-Conditioned Implicit V-Learning
ICML 2025
·
Kaiqiang Ke
DBLP profile ↗
ORCID search ↗
Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning
ICLR 2025
·
Hanlin Yang
DBLP profile ↗
ORCID search ↗
Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization
AAAI 2025
·
Zongkai Liu
DBLP profile ↗
ORCID search ↗
Rapid Learning in Constrained Minimax Games with Negative Momentum
AAAI 2025
·
Zijian Fang
DBLP profile ↗
ORCID search ↗
An Offline Adaptation Framework for Constrained Multi-Objective Reinforcement Learning
NeurIPS 2024
·
Qian Lin
DBLP profile ↗
ORCID search ↗
Off-Policy Primal-Dual Safe Reinforcement Learning
ICLR 2024
·
Zifan Wu
DBLP profile ↗
ORCID search ↗
Policy-regularized Offline Multi-objective Reinforcement Learning
AAMAS 2024
·
Qian Lin
DBLP profile ↗
ORCID search ↗