| Constrained mdps can be solved by early-termination with recurrent models H Sun, Z Xu, Z Peng, M Fang, T Wang, B Dai, B Zhou NeurIPS 2022 Foundation Models for Decision Making Workshop, 2022 | 21* | 2022 |
| Supervised q-learning for continuous control H Sun, Z Xu, T Wang, M Fang, B Zhou Deep Reinforcement Learning Workshop NeurIPS 2022, 2022 | 17* | 2022 |
| COAX: Correlation-Aware Indexing A Hadian, B Ghaffari, T Wang, T Heinis 2023 IEEE 39th International Conference on Data Engineering Workshops (ICDEW …, 2023 | 13* | 2023 |
| Toward Causal-Aware RL: State-Wise Action-Refined Temporal Difference H Sun, T Wang Deep Reinforcement Learning Workshop NeurIPS 2022, 2022, 2022 | 10 | 2022 |
| DistRL: An Asynchronous Distributed Reinforcement Learning Framework for On-Device Control Agent T Wang, Z Wu, J Liu, D Yuen, HAO Jianye, J Wang, K Shao ICLR 2025, The Thirteenth International Conference on Learning Representations, 2024 | 7 | 2024 |
| IA2: Leveraging Instance-Aware Index Advisor with Reinforcement Learning for Diverse Workloads T Wang, E Yoneki EuroSys, The 4th Workshop on Machine Learning and Systems (EuroMLSys), 2024 | 2 | 2024 |
| Solving Maximal Stable Set Problem via Deep Reinforcement Learning T Wang, J Shi ICAART (2), 483-489, 2021 | 2 | 2021 |
| OCMDP: Observation-Constrained Markov Decision Process T Wang, J Liu, B Lee, Z Wu, Y Wu arXiv preprint arXiv:2411.07087, 2024 | 1 | 2024 |
| Learned graph rewriting with equality saturation: A new paradigm in relational query rewrite and beyond GO Bărbulescu, T Wang, Z Singh, E Yoneki arXiv preprint arXiv:2407.12794, 2024 | 1 | 2024 |
| Why do we need bilateral control? T Wang, Y Fang, BKP Horn 2018 4th International Conference on Universal Village (UV), 1-6, 2018 | 1 | 2018 |
| ThunderServe: High-performance and Cost-efficient LLM Serving in Cloud Environments Y Jiang, F Fu, X Yao, T Wang, B Cui, A Klimovic, E Yoneki arXiv preprint arXiv:2502.09334, 2025 | | 2025 |
| A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced Approach T Wang, L Liang, G Yang, T Heinis, E Yoneki The International Conference on Management of Data, SIGMOD, 2025 | | 2025 |
| HiBO: Hierarchical Bayesian Optimization via Adaptive Search Space Partitioning W Li*, T Wang*, E Yoneki arXiv preprint arXiv:2410.23148, 2024 | | 2024 |
| Enhancing Generalization through Task Vector Fusion in Deep Reinforcement Learning for Database Optimization T Wang, E Yoneki EuroSys, the Nineteenth European Conference on Computer Systems, Poster, 2024 | | 2024 |
Hao SunPhD Candidate, DAMTP, University of CambridgeПотвърден имейл адрес: cam.ac.uk