Shi Dong

13 papers A* 2Journal 11

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Posterior Sampling for Continuing Environments. RLJ Wanqiao Xu, Shi Dong, Benjamin Van Roy
2023	J	`jnl`	RLHF and IIA: Perverse Incentives. CoRR Wanqiao Xu, Shi Dong, Xiuyuan Lu, Grace Lam, Zheng Wen, Benjamin Van Roy
2023	J	`jnl`	Shattering the Agent-Environment Interface for Fine-Tuning Inclusive Language Models. CoRR Wanqiao Xu, Shi Dong, Dilip Arumugam, Benjamin Van Roy
2022	J	`jnl`	Inclusive Artificial Intelligence. CoRR Dilip Arumugam, Shi Dong, Benjamin Van Roy
2022	J	`jnl`	Posterior Sampling for Continuing Environments. CoRR Wanqiao Xu, Shi Dong, Benjamin Van Roy
2022	J	`jnl`	Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent States. J. Mach. Learn. Res. Shi Dong, Benjamin Van Roy, Zhengyuan Zhou
2021	J	`jnl`	Simple Agent, Complex Environment: Efficient Reinforcement Learning with Agent State. CoRR Shi Dong, Benjamin Van Roy, Zhengyuan Zhou
2019	J	`jnl`	Comments on the Du-Kakade-Wang-Yang Lower Bounds. CoRR Benjamin Van Roy, Shi Dong
2019	A*	`conf`	On the Performance of Thompson Sampling on Logistic Bandits. COLT Shi Dong, Tengyu Ma, Benjamin Van Roy
2019	J	`jnl`	On the Performance of Thompson Sampling on Logistic Bandits. CoRR Shi Dong, Tengyu Ma, Benjamin Van Roy
2019	J	`jnl`	Provably Efficient Reinforcement Learning with Aggregated States. CoRR Shi Dong, Benjamin Van Roy, Zhengyuan Zhou
2018	A*	`conf`	An Information-Theoretic Analysis for Thompson Sampling with Many Actions. NeurIPS Shi Dong, Benjamin Van Roy
2018	J	`jnl`	An Information-Theoretic Analysis of Thompson Sampling for Large Action Spaces. CoRR Shi Dong, Benjamin Van Roy