Mahsa Ghasemi
13 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Machine Learning
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Reinforcement Learning
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online learning
(2)
causal bandit
(2)
structural causal model
(2)
causal discovery
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regret bound
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submodular optimization
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greedy algorithm
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bayesian learning
(1)
reinforcement learning from human feedback
(1)
motion planning
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active perception
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nash equilibrium
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hypothesis testing
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quadratic models
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policy learning
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reinforcement learning
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online optimization
(1)
partially observable markov decision process
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bandit feedback
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dynamic programming
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Papers
Joint MDPs and Reinforcement Learning in Coupled-Dynamics Environments
UAI 2026
Online Laplacian-Based Representation Learning in Reinforcement Learning
ICML 2025
Reinforcement Learning from Multi-level and Episodic Human Feedback
L4DC 2025
Sensor Scheduling in Intrusion Detection Games with Uncertain Payoffs
L4DC 2025
Adaptive Online Experimental Design for Causal Discovery
ICML 2024
Partial Structure Discovery is Sufficient for No-regret Learning in Causal Bandits
NeurIPS 2024
Privacy-Preserving Decentralized Actor-Critic for Cooperative Multi-Agent Reinforcement Learning
AISTATS 2024
Submodular information selection for hypothesis testing with misclassification penalties
L4DC 2024
Approximate Allocation Matching for Structural Causal Bandits with Unobserved Confounders
NeurIPS 2023
No-regret learning with high-probability in adversarial Markov decision processes
UAI 2021
Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics
ICML 2020
Perception-Aware Point-Based Value Iteration for Partially Observable Markov Decision Processes
IJCAI 2019
Submodular Observation Selection and Information Gathering for Quadratic Models
ICML 2019