Dong, Shi

6 publications

ICML 2025 Concurrent Reinforcement Learning with Aggregated States via Randomized Least Squares Value Iteration Yan Chen, Qinxun Bai, Yiteng Zhang, Maria Dimakopoulou, Shi Dong, Qi Sun, Zhengyuan Zhou

NeurIPS 2025 Plasticity as the Mirror of Empowerment David Abel, Michael Bowling, Andre Barreto, Will Dabney, Shi Dong, Steven Stenberg Hansen, Anna Harutyunyan, Khimya Khetarpal, Clare Lyle, Razvan Pascanu, Georgios Piliouras, Doina Precup, Jonathan Richens, Mark Rowland, Tom Schaul, Satinder Singh

ICMLW 2024 RLHF and IIA: Perverse Incentives Wanqiao Xu, Shi Dong, Xiuyuan Lu, Grace Lam, Zheng Wen, Benjamin Van Roy

JMLR 2022 Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent States Shi Dong, Benjamin Van Roy, Zhengyuan Zhou

COLT 2019 On the Performance of Thompson Sampling on Logistic Bandits Shi Dong, Tengyu Ma, Benjamin Van Roy

NeurIPS 2018 An Information-Theoretic Analysis for Thompson Sampling with Many Actions Shi Dong, Benjamin Van Roy