Sahir

According to our database, Sahir authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

2023

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, Laura Petrich, Talat Syed

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Methodical Advice Collection and Reuse in Deep Reinforcement Learning.

Sahir, Ercüment Ilhan, Srijita Das, Matthew E. Taylor

CoRR, 2022

2021

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

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