Maryam Kamgarpour
18 papers · 2019–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge π Academic Marathon (6)
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(6)
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(5)
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Taxonomy Completionist
(35)
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(2)
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Topic Evolution
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(11)
π
Conference Pioneer
ποΈ
Keyword Collector
(88)
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Century Club
(17)
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(7)
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Prolific Year
(5)
Conferences
AISTATS (5)
ICML (4)
NIPS (4)
L4DC (3)
AAAI (1)
JMLR (1)
Top co-authors
Research topics
Keywords
online learning
(3)
multi-agent learning
(3)
gaussian process
(3)
coarse correlated equilibrium
(3)
black-box optimization
(2)
kernel-based learning
(2)
log barrier
(2)
entropy regularization
(2)
zeroth-order optimization
(2)
multi-agent reinforcement learning
(2)
constrained optimization
(2)
inverse reinforcement learning
(2)
regret bound
(2)
robust optimization
(2)
game theory
(2)
no-regret learning
(2)
online algorithm
(2)
sample complexity
(2)
markov game
(2)
regret minimization
(1)
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
Multi-Agent Learning in Contextual Games under Unknown Constraints
AISTATS 2024
Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement Learning
NIPS 2024
Log Barriers for Safe Black-box Optimization with Application to Safe Reinforcement Learning
JMLR 2024
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
ICML 2023
Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation
ICML 2022
Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems
ICML 2021
Fast Projection Onto Convex Smooth Constraints
ICML 2021
Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems
L4DC 2021
Learning to Play Sequential Games versus Unknown Opponents
NIPS 2020
Learning the Globally Optimal Distributed LQ Regulator
L4DC 2020
Safe non-smooth black-box optimization with application to policy search
L4DC 2020
Mixed Strategies for Robust Optimization of Unknown Objectives
AISTATS 2020
Contextual Games: Multi-Agent Learning with Side Information
NIPS 2020
Safe Convex Learning under Uncertain Constraints
AISTATS 2019
Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature
AISTATS 2019
No-Regret Learning in Unknown Games with Correlated Payoffs
NIPS 2019