Hidden community detection in social networks K He, Y Li, S Soundarajan, JE Hopcroft Information Sciences 425, 92-106, 2018 | 106 | 2018 |
HyperDQN: A randomized exploration method for deep reinforcement learning Z Li, Y Li, Y Zhang, T Zhang, ZQ Luo International Conference on Learning Representations, 2021 | 13 | 2021 |
Divergence-augmented policy optimization Q Wang, Y Li, J Xiong, T Zhang Advances in Neural Information Processing Systems 32, 2019 | 12 | 2019 |
Efficient and scalable reinforcement learning via hypermodel Y Li, J Xu, ZQ Luo NeurIPS 2023 Workshop on Adaptive Experimental Design and Active Learning in …, 2023 | 2 | 2023 |
HyperAgent: A Simple, Scalable, Efficient and Provable Reinforcement Learning Framework for Complex Environments Y Li, J Xu, L Han, ZQ Luo arXiv preprint arXiv:2402.10228, 2024 | 1 | 2024 |
Prior-dependent analysis of posterior sampling reinforcement learning with function approximation Y Li, Z Luo International Conference on Artificial Intelligence and Statistics, 559-567, 2024 | | 2024 |
Radar Anti-jamming Strategy Learning via Domain-knowledge Enhanced Online Convex Optimization L Liu, W Pu, Y Li, B Jiu, ZQ Luo arXiv preprint arXiv:2402.16274, 2024 | | 2024 |
Probability Tools for Sequential Random Projection Y Li arXiv preprint arXiv:2402.14026, 2024 | | 2024 |
Simple, unified analysis of Johnson-Lindenstrauss with applications Y Li arXiv preprint arXiv:2402.10232, 2024 | | 2024 |
Optimistic Thompson Sampling for No-Regret Learning in Unknown Games Y Li, L Liu, W Pi, H Liang, ZQ Luo arXiv preprint arXiv:2402.09456, 2024 | | 2024 |
Efficient Exploration by HyperDQN in Deep Reinforcement Learning Z Li, Y Li, H Liang, T Zhang Reinforcement Learning for Real Life Workshop @ ICML 2021, 2021 | | 2021 |