Randy Jia

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 10

Top Topics

Control Policies

Reinforcement Learning

Inventory Management

Online Convex Optimization

Top Venues

Math. Oper. Res.

Publications

Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster
Linear Reinforcement Learning with Ball Structure Action Space. ALT (2023)
Dean P. Foster, Randy Jia, Dhruv Madeka
Contextual Bandits for Evaluating and Improving Inventory Control Policies. CoRR (2023)
Sohrab Andaz, Carson Eisenach, Dhruv Madeka, Kari Torkkola, Randy Jia, Dean P. Foster, Sham M. Kakade
Learning an Inventory Control Policy with General Inventory Arrival Dynamics. CoRR (2023)
Shipra Agrawal, Randy Jia
Optimistic Posterior Sampling for Reinforcement Learning: Worst-Case Regret Bounds. Math. Oper. Res. 48 (1) (2023)
Zeyu Jia, Randy Jia, Dhruv Madeka, Dean P. Foster
Linear Reinforcement Learning with Ball Structure Action Space. CoRR (2022)
Shipra Agrawal, Randy Jia
Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management. Oper. Res. 70 (3) (2022)
Shipra Agrawal, Randy Jia
Learning in Structured MDPs with Convex Cost Functions: Improved Regret Bounds for Inventory Management. EC (2019)
Shipra Agrawal, Randy Jia
Learning in structured MDPs with convex cost functions: Improved regret bounds for inventory management. CoRR (2019)
Shipra Agrawal, Randy Jia
Optimistic posterior sampling for reinforcement learning: worst-case regret bounds. NIPS (2017)
Shipra Agrawal, Randy Jia
Posterior sampling for reinforcement learning: worst-case regret bounds. CoRR (2017)
Chun-Nan Hung, David Lu, Randy Jia, Cheng-Kuan Lin, László Lipták, Eddie Cheng, Jimmy J. M. Tan, Lih-Hsing Hsu
, 4). Math. Comput. Model. 57 (3-4) (2013)
Eddie Cheng, Randy Jia, David Lu
Matching preclusion and Conditional Matching preclusion for Augmented Cubes. J. Interconnect. Networks 11 (1-2) (2010)