Kate Larson

14 papers · 2013–2026 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+5 more ↓

🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (19)

🧭 Keyword Pioneer 🗃️ Keyword Collector (63) 💎 Century Club · Bronze ❓ The Questioner 🚀 Conference Pioneer

Venues

IJCAI (11) AAAI (3)

Top co-authors

Edith Law (2) David Radke (2) Tim Brecht (2) Ben Armstrong (2) Vijay Menon (2) Sriram Ganapathi Subramanian (1) Atrisha Sarkar (1) Mohammad Mohammadi Amiri (1) Arthur Carvalho (1) Lukasz Golab (1)

Research topics

Artificial Intelligence (8) Core AI (8) Reinforcement Learning (4) Methods (4) Mathematics & Optimization (3) Machine Learning (2) Optimization (2) Interdisciplinary (1) Application Areas (1) Applications (1) Learning Types (1) Mathematics (1) Optimization & Theory (1) Social (1)

Keywords

welfare optimization (2) reinforcement learning (2) bayesian inference (1) game theory (1) multi-agent learning (1) bounded rationality (1) mechanism design (1) social choice (1) collective decision making (1) policy iteration (1) preference alignment (1) pareto optimality (1) monte carlo tree search (1) bradley-terry model (1) reward modeling (1) human feedback (1) generative model (1) social network (1) preference aggregation (1) multi-agent reinforcement learning (1)

Papers

The Alignment Game: A Theory of Long-Horizon Alignment Through Recursive Curation AAAI 2026 What Voting Rules Actually Do: A Data-Driven Analysis of Multi-Winner Voting AAAI 2026 Combining Deep Reinforcement Learning and Search with Generative Models for Game-Theoretic Opponent Modeling IJCAI 2025 Reflective Verbal Reward Design for Pluralistic Alignment IJCAI 2025 Deliberation and Voting in Approval-Based Multi-Winner Elections IJCAI 2023 Multi-Agent Advisor Q-Learning (Extended Abstract) IJCAI 2023 Towards a Better Understanding of Learning with Multiagent Teams IJCAI 2023 Exploring the Benefits of Teams in Multiagent Learning IJCAI 2022 Generalized Dynamic Cognitive Hierarchy Models for Strategic Driving Behavior AAAI 2022 How Should We Vote? A Comparison of Voting Systems within Social Networks IJCAI 2022 Improving Welfare in One-Sided Matchings using Simple Threshold Queries IJCAI 2021 Deterministic, Strategyproof, and Fair Cake Cutting IJCAI 2017 Dynamic Task Allocation Algorithm for Hiring Workers that Learn IJCAI 2016 A Consensual Linear Opinion Pool IJCAI 2013