Maryam Kamgarpour
18 papers · 2019–2026 · 6 venues · across top CS/AI venues
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Achievements
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Top co-authors
Research topics
Machine Learning
(13)
Artificial Intelligence
(12)
Core AI
(12)
Mathematics & Optimization
(10)
Optimization
(10)
Optimization & Theory
(9)
Reinforcement Learning
(8)
Methods
(7)
Learning Types
(6)
Mathematics
(2)
Robotics
(1)
Applications
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Bayesian & Probabilistic Β· Artificial Intelligence
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Bayesian & Probabilistic Β· Machine Learning
(1)
Core Methods
(1)
Keywords
coarse correlated equilibrium
(3)
multi-agent learning
(3)
gaussian process
(3)
online learning
(3)
sample complexity
(3)
kernel-based learning
(2)
black-box optimization
(2)
zeroth-order optimization
(2)
regret bound
(2)
online algorithm
(2)
constrained markov decision process
(2)
constrained optimization
(2)
inverse reinforcement learning
(2)
markov game
(2)
game theory
(2)
multi-agent reinforcement learning
(2)
robust optimization
(2)
no-regret learning
(2)
entropy regularization
(2)
log barrier
(2)
Papers
Learning in Zero-Sum Markov Games: Relaxing Strong Reachability and Mixing Time Assumptions
AAAI 2026
A Safe Exploration Approach to Constrained Markov Decision Processes
AISTATS 2025
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning
JMLR 2024
Multi-Agent Learning in Contextual Games under Unknown Constraints
AISTATS 2024
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning
NeurIPS 2024
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
ICML 2023
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
ICML 2022
Fast Projection Onto Convex Smooth Constraints
ICML 2021
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems
ICML 2021
Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems
L4DC 2021
Contextual Games: Multi-Agent Learning with Side Information
NeurIPS 2020
Learning the Globally Optimal Distributed LQ Regulator
L4DC 2020
Learning to Play Sequential Games versus Unknown Opponents
NeurIPS 2020
Mixed Strategies for Robust Optimization of Unknown Objectives
AISTATS 2020
Safe non-smooth black-box optimization with application to policy search
L4DC 2020
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature
AISTATS 2019
No-Regret Learning in Unknown Games with Correlated Payoffs
NeurIPS 2019
Safe Convex Learning under Uncertain Constraints
AISTATS 2019