Randy Jia

12 papers A* 1B 1Journal 9Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Contextual Bandits for Evaluating and Improving Inventory Control Policies. CoRR Dean P. Foster, Randy Jia, Dhruv Madeka
2023	J	`jnl`	Learning an Inventory Control Policy with General Inventory Arrival Dynamics. CoRR Sohrab Andaz, Carson Eisenach, Dhruv Madeka, Kari Torkkola, Randy Jia, Dean P. Foster, Sham M. Kakade
2023	B	`conf`	Linear Reinforcement Learning with Ball Structure Action Space. ALT Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster
2023	J	`jnl`	Optimistic Posterior Sampling for Reinforcement Learning: Worst-Case Regret Bounds. Math. Oper. Res. Shipra Agrawal, Randy Jia
2022	J	`jnl`	Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management. Oper. Res. Shipra Agrawal, Randy Jia
2022	J	`jnl`	Linear Reinforcement Learning with Ball Structure Action Space. CoRR Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster
2019	A*	`conf`	Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management. EC Shipra Agrawal, Randy Jia
2019	J	`jnl`	Learning in structured MDPs with convex cost functions: Improved regret bounds for inventory management. CoRR Shipra Agrawal, Randy Jia
2017	—	`conf`	Optimistic posterior sampling for reinforcement learning: worst-case regret bounds. NIPS Shipra Agrawal, Randy Jia
2017	J	`jnl`	Posterior sampling for reinforcement learning: worst-case regret bounds. CoRR Shipra Agrawal, Randy Jia
2013	J	`jnl`	4-ordered-Hamiltonian problems of the generalized Petersen graph Math. Comput. Model. Chun-Nan Hung, David Lu, Randy Jia, Cheng-Kuan Lin, László Lipták, Eddie Cheng, Jimmy J. M. Tan, Lih-Hsing Hsu
2010	J	`jnl`	Matching preclusion and Conditional Matching preclusion for Augmented Cubes. J. Interconnect. Networks Eddie Cheng, Randy Jia, David Lu