Mahsa Ghasemi

Orcid: 0000-0003-4302-4806

According to our database1, Mahsa Ghasemi authored at least 22 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
No-Regret Learning in Dynamic Stackelberg Games.
IEEE Trans. Autom. Control., March, 2024

2023
Formal Methods for Autonomous Systems.
Found. Trends Syst. Control., 2023

Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

On the Complexity and Approximability of Optimal Sensor Selection for Mixed-Observable Markov Decision Processes.
Proceedings of the American Control Conference, 2023

Inverse Reinforcement Learning with Learning and Leveraging Demonstrators' Varying Expertise Levels.
Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2021
Randomized Greedy Sensor Selection: Leveraging Weak Submodularity.
IEEE Trans. Autom. Control., 2021

No-regret learning with high-probability in adversarial Markov decision processes.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

A Barrier Pair Method for Safe Human-Robot Shared Autonomy.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Online Learning with Implicit Exploration in Episodic Markov Decision Processes.
Proceedings of the 2021 American Control Conference, 2021

Multiple Plans are Better than One: Diverse Stochastic Planning.
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

2020
Reactive synthesis with maximum realizability of linear temporal logic specifications.
Acta Informatica, 2020

Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics.
Proceedings of the 37th International Conference on Machine Learning, 2020

Identifying Sparse Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach.
Proceedings of the 2020 American Control Conference, 2020

2019
Identifying Low-Dimensional Structures in Markov Chains: A Nonnegative Matrix Factorization Approach.
CoRR, 2019

Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Submodular Observation Selection and Information Gathering for Quadratic Models.
Proceedings of the 36th International Conference on Machine Learning, 2019

Online Active Perception for Partially Observable Markov Decision Processes with Limited Budget.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

On Submodularity of Quadratic Observation Selection in Constrained Networked Sensing Systems.
Proceedings of the 2019 American Control Conference, 2019

2018
Counterexamples for Robotic Planning Explained in Structured Language.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Maximum Realizability for Linear Temporal Logic Specifications.
Proceedings of the Automated Technology for Verification and Analysis, 2018

A Randomized Greedy Algorithm for Near-Optimal Sensor Scheduling in Large-Scale Sensor Networks.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
On enzymatic reactions: The role of a feedback from the substrate.
Proceedings of the 56th IEEE Annual Conference on Decision and Control, 2017


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