| 2024 | ICLR | Addressing Loss of Plasticity and Catastrophic Forgetting in Continual Learning. | Mohamed Elsayed, A. Rupam Mahmood |
| 2024 | ICLR | Provable and Practical: Efficient Exploration in Reinforcement Learning via Langevin Monte Carlo. | Haque Ishfaq, Qingfeng Lan, Pan Xu, A. Rupam Mahmood, Doina Precup, Anima Anandkumar, Kamyar Azizzadenesheli |
| 2024 | ICML | Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement Learning. | Mohamed Elsayed, Homayoon Farrahi, Felix Dangel, A. Rupam Mahmood |
| 2024 | ICML | Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation. | Fengdi Che, Chenjun Xiao, Jincheng Mei, Bo Dai, Ramki Gummadi, Oscar A. Ramirez, Christopher K. Harris, A. Rupam Mahmood, Dale Schuurmans |
| 2023 | ICML | Correcting discount-factor mismatch in on-policy policy gradient methods. | Fengdi Che, Gautham Vasan, A. Rupam Mahmood |
| 2023 | IJCNN | Reducing the Cost of Cycle-Time Tuning for Real-World Policy Optimization. | Homayoon Farrahi, A. Rupam Mahmood |
| 2023 | IROS | Dynamic Decision Frequency with Continuous Options. | Amirmohammad Karimi, Jun Jin, Jun Luo, A. Rupam Mahmood, Martin Jgersand, Samuele Tosatto |
| 2023 | ICRA | Real-Time Reinforcement Learning for Vision-Based Robotics Utilizing Local and Remote Computers. | Yan Wang, Gautham Vasan, A. Rupam Mahmood |
| 2023 | UAI | Loosely consistent emphatic temporal-difference learning. | Jiamin He, Fengdi Che, Yi Wan, A. Rupam Mahmood |
| 2022 | ICRA | Asynchronous Reinforcement Learning for Real-Time Control of Physical Robots. | Yufeng Yuan, A. Rupam Mahmood |
| 2021 | ICRA | Analyzing Neural Jacobian Methods in Applications of Visual Servoing and Kinematic Control. | Michael Przystupa, Masood Dehghan, Martin Jgersand, A. Rupam Mahmood |
| 2019 | IJCAI | Autoregressive Policies for Continuous Control Deep Reinforcement Learning. | Dmytro Korenkevych, A. Rupam Mahmood, Gautham Vasan, James Bergstra |
| 2018 | CoRL | Benchmarking Reinforcement Learning Algorithms on Real-World Robots. | A. Rupam Mahmood, Dmytro Korenkevych, Gautham Vasan, William Ma, James Bergstra |
| 2018 | IROS | Setting up a Reinforcement Learning Task with a Real-World Robot. | A. Rupam Mahmood, Dmytro Korenkevych, Brent J. Komer, James Bergstra |