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09/06/2023
Framework-Based Qualitative Analysis of Free Responses of Large Language Models: Algorithmic Fidelity
Today, using Large-scale generative Language Models (LLMs) it is possibl...
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05/29/2023
Doing the right thing for the right reason: Evaluating artificial moral cognition by probing cost insensitivity
Is it possible to evaluate the moral cognition of complex artificial age...
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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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02/02/2023
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition
Many environments contain numerous available niches of variable value, e...
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11/24/2022
Melting Pot 2.0
Multi-agent artificial intelligence research promises a path to develop ...
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08/10/2022
The emergence of division of labor through decentralized social sanctioning
Human ecological success relies on our characteristic ability to flexibl...
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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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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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07/14/2021
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Existing evaluation suites for multi-agent reinforcement learning (MARL)...
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06/18/2021
Meta-control of social learning strategies
Social learning, copying other's behavior without actual experience, off...
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06/16/2021
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings
Society is characterized by the presence of a variety of social norms: c...
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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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02/13/2021
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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12/15/2020
Open Problems in Cooperative AI
Problems of cooperation–in which agents seek ways to jointly improve the...
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11/13/2020
DeepMind Lab2D
We present DeepMind Lab2D, a scalable environment simulator for artifici...
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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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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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01/25/2020
Silly rules improve the capacity of agents to learn stable enforcement and compliance behaviors
How can societies learn to enforce and comply with social norms? Here we...
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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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10/29/2019
Generalization of Reinforcement Learners with Working and Episodic Memory
Memory is an important aspect of intelligence and plays a role in many d...
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05/31/2019
Interval timing in deep reinforcement learning agents
The measurement of time is central to intelligent behavior. We know that...
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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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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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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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07/03/2018
Human-level performance in first-person multiplayer games with population-based deep reinforcement learning
Recent progress in artificial intelligence through reinforcement learnin...
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04/11/2018
Emergent Communication through Negotiation
Multi-agent reinforcement learning offers a way to study how communicati...
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03/28/2018
Unsupervised Predictive Memory in a Goal-Directed Agent
Animals execute goal-directed behaviours despite the limited range and s...
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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
Inequity aversion resolves intertemporal social dilemmas
Groups of humans are often able to find ways to cooperate with one anoth...
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03/16/2018
A Generalised Method for Empirical Game Theoretic Analysis
This paper provides theoretical bounds for empirical game theoretical an...
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03/10/2018
Kickstarting Deep Reinforcement Learning
We present a method for using previously-trained 'teacher' agents to kic...
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01/24/2018
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents
Psychlab is a simulated psychology laboratory inside the first-person 3D...
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07/20/2017
A multi-agent reinforcement learning model of common-pool resource appropriation
Humanity faces numerous problems of common-pool resource appropriation. ...
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06/16/2017
Value-Decomposition Networks For Cooperative Multi-Agent Learning
We study the problem of cooperative multi-agent reinforcement learning w...
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04/12/2017
Deep Q-learning from Demonstrations
Deep reinforcement learning (RL) has achieved several high profile succe...
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02/10/2017
Multi-agent Reinforcement Learning in Sequential Social Dilemmas
Matrix games like Prisoner's Dilemma have guided research on social dile...
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12/12/2016
DeepMind Lab
DeepMind Lab is a first-person 3D game platform designed for research an...
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11/17/2016
Learning to reinforcement learn
In recent years deep reinforcement learning (RL) systems have attained s...
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11/16/2016
Reinforcement Learning with Unsupervised Auxiliary Tasks
Deep reinforcement learning agents have achieved state-of-the-art result...
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10/20/2016
Using Fast Weights to Attend to the Recent Past
Until recently, research on artificial neural networks was largely restr...
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06/14/2016
Model-Free Episodic Control
State of the art deep reinforcement learning algorithms take many millio...
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06/05/2016
View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation
The primate brain contains a hierarchy of visual areas, dubbed the ventr...
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12/28/2015
