Maximum Reward Formulation In Reinforcement Learning. - Sai Krishna Gottipati; Yashaswi Pathak; Rohan Nuttall; Sahir; Raviteja Chunduru; Ahmed Touati; Sriram Ganapathi Subramanian; Matthew E. Taylor; Sarath Chandar (CoRR, 2020)

Towered Actor Critic For Handling Multiple Action Types In Reinforcement Learning For Drug Discovery. - Sai Krishna Gottipati; Yashaswi Pathak; Boris Sattarov; Sahir; Rohan Nuttall; Mohammad Amini; Matthew E. Taylor; Sarath Chandar (AAAI, 2021)

Methodical Advice Collection and Reuse in Deep Reinforcement Learning. - Sahir; Ercüment Ilhan; Srijita Das 001; Matthew E. Taylor (CoRR, 2022)

Multi-Robot Warehouse Optimization: Leveraging Machine Learning for Improved Performance. - Mara Cairo; Bevin Eldaphonse; Payam Mousavi; Sahir; Sheikh Jubair; Matthew E. Taylor; Graham Doerksen; Nikolai Kummer; Jordan Maretzki; Gupreet Mohhar; Sean Murphy; Johannes Günther 002; et al. (AAMAS, 2023)

A novel framework for automated warehouse layout generation. - Atefeh Shahroudnejad; Payam Mousavi; Oleksii Perepelytsia; Sahir; David Staszak; Matthew E. Taylor; Brent Bawel (Frontiers Artif. Intell., 2024)

Applying reinforcement learning to learn best net to rip and re-route in global routing. - Upma Gandhi; Erfan Aghaeekiasaraee; Sahir; Payam Mousavi; Ismail S. K. Bustany; Matthew E. Taylor; Laleh Behjat (ACM Trans. Design Autom. Electr. Syst., 2024)