Kevin R. McKee

Orcid: 0000-0002-4412-1686

According to our database1, Kevin R. McKee authored at least 31 papers between 2018 and 2024.

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Bibliography

2024
Correction: Warmth and competence in human-agent cooperation.
Auton. Agents Multi Agent Syst., June, 2024

Warmth and competence in human-agent cooperation.
Auton. Agents Multi Agent Syst., June, 2024

(Unfair) Norms in Fairness Research: A Meta-Analysis.
CoRR, 2024

Towards Responsible Development of Generative AI for Education: An Evaluation-Driven Approach.
CoRR, 2024

Should Users Trust Advanced AI Assistants? Justified Trust As a Function of Competence and Alignment.
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

Recourse for Reclamation: Chatting with Generative Language Models.
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

The Illusion of Artificial Inclusion.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023
A social path to human-like artificial intelligence.
Nat. Mac. Intell., October, 2023

Human participants in AI research: Ethics and transparency in practice.
CoRR, 2023

How FaR Are Large Language Models From Agents with Theory-of-Mind?
CoRR, 2023

Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas.
CoRR, 2023

Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning.
CoRR, 2023

Search-Improved Game-Theoretic Multiagent Reinforcement Learning in General and Negotiation Games.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria.
CoRR, 2022

Developing, evaluating and scaling learning agents in multi-agent environments.
AI Commun., 2022

Quantifying the effects of environment and population diversity in multi-agent reinforcement learning.
Auton. Agents Multi Agent Syst., 2022

Subverting machines, fluctuating identities: Re-learning human categorization.
Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

D3C: Reducing the Price of Anarchy in Multi-Agent Learning.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021
Statistical discrimination in learning agents.
CoRR, 2021

Deep reinforcement learning models the emergent dynamics of human cooperation.
CoRR, 2021

Quantifying environment and population diversity in multi-agent reinforcement learning.
CoRR, 2021

Neural Recursive Belief States in Multi-Agent Reinforcement Learning.
CoRR, 2021

Collaborating with Humans without Human Data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities.
Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020
Open Problems in Cooperative AI.
CoRR, 2020

Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences.
CoRR, 2020

Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
A resource-rational model of physical abstraction for efficient mental simulation.
Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018
Inequity aversion resolves intertemporal social dilemmas.
CoRR, 2018

Inequity aversion improves cooperation in intertemporal social dilemmas.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Relational inductive bias for physical construction in humans and machines.
Proceedings of the 40th Annual Meeting of the Cognitive Science Society, 2018


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