Kate Larson
University of Waterloo
H-index: 28
North America-Canada
Top articles of Kate Larson
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Unraveling the Dilemma of AI Errors: Exploring the Effectiveness of Human and Machine Explanations for Large Language Models | arXiv preprint arXiv:2404.07725 | Marvin Pafla Kate Larson Mark Hancock | 2024/4/11 |
Approximating the Core via Iterative Coalition Sampling | arXiv preprint arXiv:2402.03928 | Ian Gemp Marc Lanctot Luke Marris Yiran Mao Edgar Duéñez-Guzmán | 2024/2/6 |
Liquid Democracy for Low-Cost Ensemble Pruning | arXiv preprint arXiv:2401.17443 | Ben Armstrong Kate Larson | 2024/1/30 |
Search-improved game-theoretic multiagent reinforcement learning in general and negotiation games | Zun Li Marc Lanctot Kevin R McKee Luke Marris Ian Gemp | 2023/5/30 | |
Deliberation and voting in approval-based multi-winner elections | Kanav Mehra Nanda Kishore Sreenivas Kate Larson | 2023/5/29 | |
Revealed multi-objective utility aggregation in human driving | arXiv preprint arXiv:2303.07435 | Atrisha Sarkar Kate Larson Krzysztof Czarnecki | 2023/3/13 |
Evaluating Agents using Social Choice Theory | arXiv preprint arXiv:2312.03121 | Marc Lanctot Kate Larson Yoram Bachrach Luke Marris Zun Li | 2023/12/5 |
Combining tree-search, generative models, and nash bargaining concepts in game-theoretic reinforcement learning | arXiv preprint arXiv:2302.00797 | Zun Li Marc Lanctot Kevin R McKee Luke Marris Ian Gemp | 2023/2/1 |
Towards a better understanding of learning with multiagent teams | arXiv preprint arXiv:2306.16205 | David Radke Kate Larson Tim Brecht Kyle Tilbury | 2023/6/28 |
Learning from Multiple Independent Advisors in Multi-agent Reinforcement Learning | arXiv preprint arXiv:2301.11153 | Sriram Ganapathi Subramanian Matthew E Taylor Kate Larson Mark Crowley | 2023/1/26 |
Proceedings of the International Workshop on Citizen-Centric Multiagent Systems 2023 | Sebastian Stein Natalia Criado Behrad Koohy Kate Larson Marija Slavkovik | 2023/5/30 | |
Generalized dynamic cognitive hierarchy models for strategic driving behavior | Proceedings of the AAAI Conference on Artificial Intelligence | Atrisha Sarkar Kate Larson Krzysztof Czarnecki | 2022/6/28 |
Developing, evaluating and scaling learning agents in multi-agent environments | AI Communications | Ian Gemp Thomas Anthony Yoram Bachrach Avishkar Bhoopchand Kalesha Bullard | 2022/1/1 |
Multi-agent advisor q-learning | Journal of Artificial Intelligence Research | Sriram Ganapathi Subramanian Matthew E Taylor Kate Larson Mark Crowley | 2022/5/5 |
How Should We Vote? A Comparison of Voting Systems within Social Networks. | Shiri Alouf-Heffetz Ben Armstrong Kate Larson Nimrod Talmon | 2022/1/1 | |
Exploring the benefits of teams in multiagent learning | arXiv preprint arXiv:2205.02328 | David Radke Kate Larson Tim Brecht | 2022/5/4 |
The importance of credo in multiagent learning | arXiv preprint arXiv:2204.07471 | David Radke Kate Larson Tim Brecht | 2022/4/15 |
Economics and Computation | ACM Transactions on | David Pennock Ilya Segal Eduardo Azevedo Moshe Babaioff Maria-Forina Balcan | 2022 |
Group recommendation with noisy subjective preferences | Computational Intelligence | Amirali Salehi‐Abari Kate Larson | 2021/2 |
A taxonomy of strategic human interactions in traffic conflicts | arXiv preprint arXiv:2109.13367 | Atrisha Sarkar Kate Larson Krzysztof Czarnecki | 2021/9/27 |
Co-Authors
