| 2025 | ICML | Online Laplacian-Based Representation Learning in Reinforcement Learning. | Maheed H. Ahmed, Jayanth Bhargav, Mahsa Ghasemi |
| 2024 | AISTATS | Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement Learning. | Maheed H. Ahmed, Mahsa Ghasemi |
| 2024 | ICML | Adaptive Online Experimental Design for Causal Discovery. | Muhammad Qasim Elahi, Lai Wei, Murat Kocaoglu, Mahsa Ghasemi |
| 2021 | UAI | No-regret learning with high-probability in adversarial Markov decision processes. | Mahsa Ghasemi, Abolfazl Hashemi, Haris Vikalo, Ufuk Topcu |
| 2020 | ICML | Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics. | Mahsa Ghasemi, Erdem Bulgur, Ufuk Topcu |
| 2019 | ICML | Submodular Observation Selection and Information Gathering for Quadratic Models. | Abolfazl Hashemi, Mahsa Ghasemi, Haris Vikalo, Ufuk Topcu |
| 2019 | IJCAI | Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes. | Mahsa Ghasemi, Ufuk Topcu |
| 2018 | ATVA | Maximum Realizability for Linear Temporal Logic Specifications. | Rayna Dimitrova, Mahsa Ghasemi, Ufuk Topcu |
| 2018 | ICRA | Counterexamples for Robotic Planning Explained in Structured Language. | Lu Feng, Mahsa Ghasemi, Kai-Wei Chang, Ufuk Topcu |