Arunesh Sinha
26 papers · 2013–2025 · 4 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (45) π Academic Marathon Β· Half π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Champion
(3)
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Renaissance Researcher
(8)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
ποΈ
Keyword Collector
(125)
Venues
Top co-authors
Research topics
Artificial Intelligence
(14)
Core AI
(14)
Mathematics & Optimization
(9)
Optimization
(9)
Machine Learning
(8)
Reinforcement Learning
(8)
Applications
(6)
Methods
(5)
Deep Learning
(4)
Learning Types Β· Machine Learning
(4)
Core Methods
(3)
Learning Types Β· Deep Learning
(3)
Optimization & Theory
(3)
Healthcare & Medicine
(2)
Architectures
(2)
Keywords
security game
(4)
stackelberg game
(4)
bounded rationality
(3)
stackelberg security game
(3)
generative adversarial network
(2)
markov decision process
(2)
game theory
(2)
resource allocation
(2)
constrained optimization
(2)
policy gradient
(2)
deep reinforcement learning
(2)
constraint satisfaction
(2)
security optimization
(2)
autonomous driving
(1)
sample complexity
(1)
policy optimization
(1)
direct preference optimization
(1)
non-convex optimization
(1)
motion planning
(1)
temporal difference learning
(1)
Papers
Bootstrapping Language Models with DPO Implicit Rewards
ICLR 2025
On Minimizing Adversarial Counterfactual Error in Adversarial Reinforcement Learning
ICLR 2025
Semantic Loss Guided Data Efficient Supervised Fine Tuning for Safe Responses in LLMs
ICLR 2025
Handling Long and Richly Constrained Tasks through Constrained Hierarchical Reinforcement Learning
AAAI 2024
Tackling Stackelberg Network Interdiction against a Boundedly Rational Adversary
IJCAI 2024
A Fair Incentive Scheme for Community Health Workers
AAAI 2023
Behavioral Learning in Security Games: Threat of Multi-Step Manipulative Attacks
AAAI 2023
Beyond NaN: Resiliency of Optimization Layers in the Face of Infeasibility
AAAI 2023
Building a Personalized Messaging System for Health Intervention in Underprivileged Regions Using Reinforcement Learning
IJCAI 2023
Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning
NeurIPS 2023
Securing Lifelines: Safe Delivery of Critical Services in Areas with Volatile Security Situation via a Stackelberg Game Approach
AAAI 2023
Choices Are Not Independent: Stackelberg Security Games with Nested Quantal Response Models
AAAI 2022
Multiscale Generative Models: Improving Performance of a Generative Model Using Feedback from Other Dependent Generative Models
AAAI 2022
Scalable Distributional Robustness in a Class of Non-Convex Optimization with Guarantees
NeurIPS 2022
Bounding Regret in Empirical Games
AAAI 2020
Generating Realistic Stock Market Order Streams
AAAI 2020
Partial Adversarial Behavior Deception in Security Games
IJCAI 2020
Solving Online Threat Screening Games using Constrained Action Space Reinforcement Learning
AAAI 2020
Deception in Finitely Repeated Security Games
AAAI 2019
Stackelberg Security Games: Looking Beyond a Decade of Success
IJCAI 2018
The Price of Usability: Designing Operationalizable Strategies for Security Games
IJCAI 2018
Don't Bury your Head in Warnings: A Game-Theoretic Approach for Intelligent Allocation of Cyber-security Alerts
IJCAI 2017
Three Strategies to Success: Learning Adversary Models in Security Games
IJCAI 2016
Incentivizing Peer Grading in MOOCS: An Audit Game Approach
IJCAI 2015
Security Games with Information Leakage: Modeling and Computation
IJCAI 2015
Audit Games
IJCAI 2013