Lin Li - RankMe

18 papers A* 6Journal 11Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Pseudo-distribution elite critics: Enhancing accuracy in reinforcement learning value estimation. Neural Networks Yujia Zhang, Lin Li, Wei Wei, Jianguo Wu, Jiye Liang
2025	—	`conf`	AGOD: Enhancing Multi-Agent Generalization via Attribution-Guided Observation Dropout. DAI Wei Wei, Binchao Ma, Lin Li, Huizhong Song, Lijun Zhang, Fengjiao Li
2025	J	`jnl`	Constrained Language Model Policy Optimization via Risk-aware Stepwise Alignment. CoRR Lijun Zhang, Lin Li, Wei Wei, Yajie Qi, Huizhong Song, Jun Wang, Yaodong Yang, Jiye Liang
2025	A*	`conf`	Dynamic Uncertainty Estimation for Offline Reinforcement Learning. AAAI Jiesheng Wang, Lin Li, Wei Wei, Yujia Zhang, Xin Yang
2025	J	`jnl`	Goal-Guided Efficient Exploration via Large Language Model in Reinforcement Learning. CoRR Yajie Qi, Wei Wei, Lin Li, Lijun Zhang, Zhidong Gao, Da Wang, Huizhong Song
2025	A*	`conf`	Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning. AAAI Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang
2025	J	`jnl`	Rethinking exploration-exploitation trade-off in reinforcement learning via cognitive consistency. Neural Networks Da Wang, Wei Wei, Lin Li, Xin Wang, Jiye Liang
2025	J	`jnl`	Risk-aware Direct Preference Optimization under Nested Risk Measure. CoRR Lijun Zhang, Lin Li, Yajie Qi, Huizhong Song, Yaodong Yang, Jun Wang, Wei Wei
2024	J	`jnl`	A unified framework to control estimation error in reinforcement learning. Neural Networks Yujia Zhang, Lin Li, Wei Wei, Yunpeng Lv, Jiye Liang
2024	J	`jnl`	Controlling estimation error in reinforcement learning via Reinforced Operation. Inf. Sci. Yujia Zhang, Lin Li, Wei Wei, Xiu You, Jiye Liang
2024	A*	`conf`	Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting. ICML Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang
2024	J	`jnl`	Re-attentive experience replay in off-policy reinforcement learning. Mach. Learn. Wei Wei, Da Wang, Lin Li, Jiye Liang
2024	A*	`conf`	Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning. NeurIPS Lijun Zhang, Lin Li, Wei Wei, Huizhong Song, Yaodong Yang, Jiye Liang
2023	J	`jnl`	Multi-actor mechanism for actor-critic reinforcement learning. Inf. Sci. Lin Li, Yuze Li, Wei Wei, Yujia Zhang, Jiye Liang
2023	J	`jnl`	Multiple metric learning via local metric fusion. Inf. Sci. Xinyao Guo, Lin Li, Chuangyin Dang, Jiye Liang, Wei Wei
2023	A*	`conf`	Set-membership Belief State-based Reinforcement Learning for POMDPs. ICML Wei Wei, Lijun Zhang, Lin Li, Huizhong Song, Jiye Liang
2022	A*	`conf`	Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation. AAAI Wei Wei, Yujia Zhang, Jiye Liang, Lin Li, Yuze Li
2022	J	`jnl`	Hierarchical metric learning with intra-level and inter-level regularization. Int. J. Mach. Learn. Cybern. Lin Li, Ting Li, Wei Wei, Xinyao Guo, Jiye Liang