research
∙
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...
share
research
∙
09/22/2022
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments
The Game Theory Multi-Agent team at DeepMind studies several aspects...
research
∙
07/29/2022
Stochastic Parallelizable Eigengap Dilation for Large Graph Clustering
Large graphs commonly appear in social networks, knowledge graphs, recom...
research
∙
03/01/2022
Learning Robust Real-Time Cultural Transmission without Human Data
Cultural transmission is the domain-general social skill that allows age...
research
∙
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...
research
∙
10/15/2021
Collaborating with Humans without Human Data
Collaborating with humans requires rapidly adapting to their individual ...
research
∙
06/02/2021
Sample-based Approximation of Nash in Large Many-Player Games via Gradient Descent
Nash equilibrium is a central concept in game theory. Several Nash solve...
research
∙
02/16/2021
Quantifying environment and population diversity in multi-agent reinforcement learning
Generalization is a major challenge for multi-agent reinforcement learni...
research
∙
02/13/2021
Modelling Cooperation in Network Games with Spatio-Temporal Complexity
The real world is awash with multi-agent problems that require collectiv...
research
∙
10/20/2020
Negotiating Team Formation Using Deep Reinforcement Learning
When autonomous agents interact in the same environment, they must often...
research
∙
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...
research
∙
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...
research
∙
06/08/2020
Learning to Play No-Press Diplomacy with Best Response Policy Iteration
Recent advances in deep reinforcement learning (RL) have led to consider...
research
∙
02/22/2018
Identifying Sources and Sinks in the Presence of Multiple Agents with Gaussian Process Vector Calculus
In systems of multiple agents, identifying the cause of observed agent d...
research
∙
12/04/2017