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05/01/2023
Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas
In social psychology, Social Value Orientation (SVO) describes an indivi...
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02/01/2023
Combining Tree-Search, Generative Models, and Nash Bargaining Concepts in Game-Theoretic Reinforcement Learning
Multiagent reinforcement learning (MARL) has benefited significantly fro...
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09/22/2022
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments
The Game Theory Multi-Agent team at DeepMind studies several aspects...
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05/27/2022
Subverting machines, fluctuating identities: Re-learning human categorization
Most machine learning systems that interact with humans construct some n...
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01/31/2022
Warmth and competence in human-agent cooperation
Interaction and cooperation with humans are overarching aspirations of a...
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01/05/2022
Hidden Agenda: a Social Deduction Game with Diverse Learned Equilibria
A key challenge in the study of multiagent cooperation is the need for i...
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10/21/2021
Statistical discrimination in learning agents
Undesired bias afflicts both human and algorithmic decision making, and ...
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10/15/2021
Collaborating with Humans without Human Data
Collaborating with humans requires rapidly adapting to their individual ...
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03/08/2021
Deep reinforcement learning models the emergent dynamics of human cooperation
Collective action demands that individuals efficiently coordinate how mu...
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02/16/2021
Quantifying environment and population diversity in multi-agent reinforcement learning
Generalization is a major challenge for multi-agent reinforcement learni...
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02/03/2021
Neural Recursive Belief States in Multi-Agent Reinforcement Learning
In multi-agent reinforcement learning, the problem of learning to act is...
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02/03/2021
Fairness for Unobserved Characteristics: Insights from Technological Impacts on Queer Communities
Advances in algorithmic fairness have largely omitted sexual orientation...
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12/15/2020
Open Problems in Cooperative AI
Problems of cooperation–in which agents seek ways to jointly improve the...
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10/18/2020
Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences
Game theoretic views of convention generally rest on notions of common k...
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10/01/2020
D3C: Reducing the Price of Anarchy in Multi-Agent Learning
Even in simple multi-agent systems, fixed incentives can lead to outcome...
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02/06/2020
Social Diversity and Social Preferences in Mixed-Motive Reinforcement Learning
Recent research on reinforcement learning in pure-conflict and pure-comm...
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06/04/2018
Relational inductive bias for physical construction in humans and machines
While current deep learning systems excel at tasks such as object classi...
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03/23/2018
Inequity aversion improves cooperation in intertemporal social dilemmas
Groups of humans are often able to find ways to cooperate with one anoth...
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03/23/2018