Lin Li

According to our database, Lin Li authored at least 15 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Pseudo-distribution elite critics: Enhancing accuracy in reinforcement learning value estimation.

Yujia Zhang, Lin Li, Wei Wei, Jianguo Wu, Jiye Liang

Neural Networks, 2026

2025

Risk-aware Direct Preference Optimization under Nested Risk Measure.

Lijun Zhang, Lin Li, Yajie Qi, Huizhong Song, Yaodong Yang, Jun Wang, Wei Wei

CoRR, May, 2025

Rethinking exploration-exploitation trade-off in reinforcement learning via cognitive consistency.

Da Wang, Wei Wei, Lin Li, Xin Wang, Jiye Liang

Neural Networks, 2025

Dynamic Uncertainty Estimation for Offline Reinforcement Learning.

Jiesheng Wang, Lin Li, Wei Wei, Yujia Zhang, Xin Yang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Improving Generalization in Offline Reinforcement Learning via Latent Distribution Representation Learning.

Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Re-attentive experience replay in off-policy reinforcement learning.

Wei Wei, Da Wang, Lin Li, Jiye Liang

Mach. Learn., May, 2024

A unified framework to control estimation error in reinforcement learning.

Yujia Zhang, Lin Li, Wei Wei, Yunpeng Lv, Jiye Liang

Neural Networks, 2024

Controlling estimation error in reinforcement learning via Reinforced Operation.

Yujia Zhang, Lin Li, Wei Wei, Xiu You, Jiye Liang

Inf. Sci., 2024

Scalable Constrained Policy Optimization for Safe Multi-agent Reinforcement Learning.

Lijun Zhang, Lin Li, Wei Wei, Huizhong Song, Yaodong Yang, Jiye Liang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Improving Generalization in Offline Reinforcement Learning via Adversarial Data Splitting.

Da Wang, Lin Li, Wei Wei, Qixian Yu, Jianye Hao, Jiye Liang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Multi-actor mechanism for actor-critic reinforcement learning.

Lin Li, Yuze Li, Wei Wei, Yujia Zhang, Jiye Liang

Inf. Sci., November, 2023

Multiple metric learning via local metric fusion.

Xinyao Guo, Lin Li, Chuangyin Dang, Jiye Liang, Wei Wei

Inf. Sci., April, 2023

Set-membership Belief State-based Reinforcement Learning for POMDPs.

Wei Wei, Lijun Zhang, Lin Li, Huizhong Song, Jiye Liang

Proceedings of the International Conference on Machine Learning, 2023

2022

Hierarchical metric learning with intra-level and inter-level regularization.

Lin Li, Ting Li, Wei Wei, Xinyao Guo, Jiye Liang

Int. J. Mach. Learn. Cybern., 2022

Controlling Underestimation Bias in Reinforcement Learning via Quasi-median Operation.

Wei Wei, Yujia Zhang, Jiye Liang, Lin Li, Yuze Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022