Sarit Kraus
34 papers · 2013–2026 · 4 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge π£ Hot Topic Early Bird
π
Conference Polyglot
(4)
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
π¬
Deep Specialist
(12)
π§¬
Topic Evolution
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(176)
β‘
Prolific Year
(7)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(32)
π₯
Unstoppable
(9)
β
The Questioner
Conferences
IJCAI (17)
AAAI (13)
ICML (3)
EMNLP (1)
Top co-authors
Keywords
multi-agent system
(6)
game theory
(5)
reinforcement learning
(4)
multi-agent reinforcement learning
(3)
black-box optimization
(2)
gradient learning
(2)
policy explanation
(2)
traffic enforcement
(2)
multi-robot system
(2)
policy optimization
(2)
bipartite graph
(2)
combinatorial optimization
(2)
resource allocation
(2)
motion planning
(2)
coalition formation
(2)
linear programming
(2)
game equilibrium
(2)
explainable ai
(2)
agent cooperation
(2)
natural language processing
(1)
Papers
EvoGrad: Evolutionary-Weighted Gradient and Hessian Learning for Black-Box Optimization
AAAI 2026
Explaining Decentralized Multi-Agent Reinforcement Learning Policies
AAAI 2026
Out-of-Context Reasoning in Large Language Models
EMNLP 2025
Explaining Decisions of Agents in Mixed-Motive Games
AAAI 2025
Towards Computational Foreseeability
AAAI 2025
GODDS: The Global Online Deepfake Detection System
AAAI 2025
Bayesian Persuasion with Externalities: Exploiting Agent Types
AAAI 2025
Voter Priming Campaigns: Strategies, Equilibria, and Algorithms
AAAI 2025
Heterogeneous Multi-Robot Graph Coverage with Proximity and Movement Constraints
AAAI 2025
ADESSE: Advice Explanations in Complex Repeated Decision-Making Environments
IJCAI 2024
Design a Win-Win Strategy That Is Fair to Both Service Providers and Tasks When Rejection Is Not an Option
IJCAI 2024
Intelligent Agents for Auction-based Federated Learning: A Survey
IJCAI 2024
Explainable Multi-Agent Reinforcement Learning for Temporal Queries
IJCAI 2023
Resource Sharing through Multi-Round Matchings
AAAI 2023
Customer Service Combining Human Operators and Virtual Agents: A Call for Multidisciplinary AI Research
AAAI 2023
A Coupled Flow Approach to Imitation Learning
ICML 2023
Toward Policy Explanations for Multi-Agent Reinforcement Learning
IJCAI 2022
Robust Solutions for Multi-Defender Stackelberg Security Games
IJCAI 2022
Recomposing the Reinforcement Learning Building Blocks with Hypernetworks
ICML 2021
Coalition Formation in Multi-defender Security Games
AAAI 2021
Manipulation of k-Coalitional Games on Social Networks
IJCAI 2021
Constrained Policy Improvement for Efficient Reinforcement Learning
IJCAI 2020
Adversarial Fence Patrolling: Non-Uniform Policies for Asymmetric Environments
AAAI 2020
Explicit Gradient Learning for Black-Box Optimization
ICML 2020
Boolean Games: Inferring Agents' Goals Using Taxation Queries
IJCAI 2020
Emergency Department Online Patient-Caregiver Scheduling
AAAI 2019
Optimal Cruiser-Drone Traffic Enforcement Under Energy Limitation
IJCAI 2018
Negotiation Strategies for Agents with Ordinal Preferences
IJCAI 2018
Maintaining Communication in Multi-Robot Tree Coverage
IJCAI 2017
Leveraging Human Knowledge in Tabular Reinforcement Learning: A Study of Human Subjects
IJCAI 2017
When Security Games Hit Traffic: Optimal Traffic Enforcement Under One Sided Uncertainty
IJCAI 2017
Intelligent Agent Supporting Human-Multi-Robot Team Collaboration
IJCAI 2015
Predicting Human Strategic Decisions Using Facial Expressions
IJCAI 2013
How to Change a Groupβs Collective Decision?
IJCAI 2013