Qureshi, Ahmed H.

12 publications

ICLR 2026 Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning Xuefeng Wang, Lei Zhang, Henglin Pu, Ahmed H Qureshi, Husheng Li

TMLR 2026 Formal Methods in Robot Policy Learning and Verification: A Survey on Current Techniques and Future Directions Anastasios Manganaris, Vittorio Giammarino, Ahmed H Qureshi, Suresh Jagannathan

ICLR 2026 Goal Reaching with Eikonal-Constrained Hierarchical Quasimetric Reinforcement Learning Vittorio Giammarino, Ahmed H Qureshi

ICLR 2026 Safe Continuous-Time Multi-Agent Reinforcement Learning via Epigraph Form Xuefeng Wang, Lei Zhang, Henglin Pu, Husheng Li, Ahmed H Qureshi

NeurIPS 2025 Automaton Constrained Q-Learning Anastasios Manganaris, Vittorio Giammarino, Ahmed H Qureshi

ICLR 2025 Physics-Informed Temporal Difference Metric Learning for Robot Motion Planning Ruiqi Ni, Zherong Pan, Ahmed H Qureshi

NeurIPS 2025 Physics-Informed Value Learner for Offline Goal-Conditioned Reinforcement Learning Vittorio Giammarino, Ruiqi Ni, Ahmed H Qureshi

ICLRW 2023 Merging Decision Transformers: Weight Averaging for Forming Multi-Task Policies Daniel Lawson, Ahmed H Qureshi

ICLR 2023 NTFields: Neural Time Fields for Physics-Informed Robot Motion Planning Ruiqi Ni, Ahmed H Qureshi

CoRL 2023 Structural Concept Learning via Graph Attention for Multi-Level Rearrangement Planning Manav Kulshrestha, Ahmed H. Qureshi

ICLR 2020 Composing Task-Agnostic Policies with Deep Reinforcement Learning Ahmed H. Qureshi, Jacob J. Johnson, Yuzhe Qin, Taylor Henderson, Byron Boots, Michael C. Yip

ICLR 2019 Adversarial Imitation via Variational Inverse Reinforcement Learning Ahmed H. Qureshi, Byron Boots, Michael C. Yip