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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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01/18/2023
Human-Timescale Adaptation in an Open-Ended Task Space
Foundation models have shown impressive adaptation and scalability in su...
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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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05/13/2022
Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning
Advances in artificial intelligence often stem from the development of n...
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03/01/2022
Learning Robust Real-Time Cultural Transmission without Human Data
Cultural transmission is the domain-general social skill that allows age...
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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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02/13/2021
Modelling Cooperation in Network Games with Spatio-Temporal Complexity
The real world is awash with multi-agent problems that require collectiv...
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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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12/15/2020
Open Problems in Cooperative AI
Problems of cooperation–in which agents seek ways to jointly improve the...
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10/20/2020
Negotiating Team Formation Using Deep Reinforcement Learning
When autonomous agents interact in the same environment, they must often...
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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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06/10/2020
Learning to Incentivize Other Learning Agents
The challenge of developing powerful and general Reinforcement Learning ...
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02/27/2020
Learning to Resolve Alliance Dilemmas in Many-Player Zero-Sum Games
Zero-sum games have long guided artificial intelligence research, since ...
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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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01/14/2020
Smooth markets: A basic mechanism for organizing gradient-based learners
With the success of modern machine learning, it is becoming increasingly...
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09/27/2019
A Generalized Training Approach for Multiagent Learning
This paper investigates a population-based training regime based on game...
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08/26/2019
OpenSpiel: A Framework for Reinforcement Learning in Games
OpenSpiel is a collection of environments and algorithms for research in...
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03/19/2019
Learning Reciprocity in Complex Sequential Social Dilemmas
Reciprocity is an important feature of human social interaction and unde...
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03/02/2019
Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research
Evolution has produced a multi-scale mosaic of interacting adaptive unit...
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02/01/2019
The Hanabi Challenge: A New Frontier for AI Research
From the early days of computing, games have been important testbeds for...
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01/23/2019
Causal Reasoning from Meta-reinforcement Learning
Discovering and exploiting the causal structure in the environment is a ...
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12/17/2018
Malthusian Reinforcement Learning
Here we explore a new algorithmic framework for multi-agent reinforcemen...
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11/14/2018
Evolving intrinsic motivations for altruistic behavior
Multi-agent cooperation is an important feature of the natural world. Ma...
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11/04/2018
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
When observing the actions of others, humans carry out inferences about ...
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10/19/2018
Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning
We propose a unified mechanism for achieving coordination and communicat...
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10/19/2018
Intrinsic Social Motivation via Causal Influence in Multi-Agent RL
We derive a new intrinsic social motivation for multi-agent reinforcemen...
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06/05/2018
Learning to Follow Language Instructions with Adversarial Reward Induction
Recent work has shown that deep reinforcement-learning agents can learn ...
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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