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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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01/11/2023
An Analysis of Quantile Temporal-Difference Learning
We analyse quantile temporal-difference learning (QTD), a distributional...
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10/17/2022
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers
Solution concepts such as Nash Equilibria, Correlated Equilibria, and Co...
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10/05/2022
Game Theoretic Rating in N-player general-sum games with Equilibria
Rating strategies in a game is an important area of research in game the...
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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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08/22/2022
Learning Correlated Equilibria in Mean-Field Games
The designs of many large-scale systems today, from traffic routing envi...
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06/30/2022
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
We introduce DeepNash, an autonomous agent capable of learning to play t...
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11/16/2021
Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO
Recent advances in multiagent learning have seen the introduction ofa fa...
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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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06/28/2021
Evolutionary Dynamics and Φ-Regret Minimization in Games
Regret has been established as a foundational concept in online learning...
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06/17/2021
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
Two-player, constant-sum games are well studied in the literature, but t...
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06/08/2021
Time-series Imputation of Temporally-occluded Multiagent Trajectories
In multiagent environments, several decision-making individuals interact...
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05/25/2021
From Motor Control to Team Play in Simulated Humanoid Football
Intelligent behaviour in the physical world exhibits structure at multip...
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02/28/2021
Scaling up Mean Field Games with Online Mirror Descent
We address scaling up equilibrium computation in Mean Field Games (MFGs)...
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11/18/2020
Game Plan: What AI can do for Football, and What Football can do for AI
The rapid progress in artificial intelligence (AI) and machine learning ...
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08/27/2020
The Advantage Regret-Matching Actor-Critic
Regret minimization has played a key role in online learning, equilibriu...
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05/04/2020
Navigating the Landscape of Multiplayer Games to Probe the Drosophila of AI
Multiplayer games have a long history in being used as key testbeds for ...
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04/20/2020
Real World Games Look Like Spinning Tops
This paper investigates the geometrical properties of real world games (...
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02/21/2020
The Automated Inspection of Opaque Liquid Vaccines
In the pharmaceutical industry the screening of opaque vaccines containi...
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02/19/2020
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
In this paper we investigate the Follow the Regularized Leader dynamics ...
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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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09/21/2019
Multiagent Evaluation under Incomplete Information
This paper investigates the evaluation of learned multiagent strategies ...
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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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06/01/2019
Neural Replicator Dynamics
In multiagent learning, agents interact in inherently nonstationary envi...
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05/13/2019
Differentiable Game Mechanics
Deep learning is built on the foundational guarantee that gradient desce...
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04/12/2019
Evolving Indoor Navigational Strategies Using Gated Recurrent Units In NEAT
Simultaneous Localisation and Mapping (SLAM) algorithms are expensive to...
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03/13/2019
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent
In this paper, we present exploitability descent, a new algorithm to com...
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03/04/2019
α-Rank: Multi-Agent Evaluation by Evolution
We introduce α-Rank, a principled evolutionary dynamics methodology, for...
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03/02/2019
Fully Convolutional One-Shot Object Segmentation for Industrial Robotics
The ability to identify and localize new objects robustly and effectivel...
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01/23/2019
Robust temporal difference learning for critical domains
We present a new Q-function operator for temporal difference (TD) learni...
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10/21/2018
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
Optimization of parameterized policies for reinforcement learning (RL) i...
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09/18/2018
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions
Although many reinforcement learning methods have been proposed for lear...
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09/13/2018
Negative Update Intervals in Deep Multi-Agent Reinforcement Learning
In Multi-Agent Reinforcement Learning, independent cooperative learners ...
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08/15/2018
A Comparative Study of Bug Algorithms for Robot Navigation
This paper presents a literature survey and a comparative study of Bug A...
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08/13/2018
Fast Convergence for Object Detection by Learning how to Combine Error Functions
In this paper, we introduce an innovative method to improve the converge...
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06/07/2018
Re-evaluating evaluation
Progress in machine learning is measured by careful evaluation on proble...
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06/05/2018
Relational Deep Reinforcement Learning
We introduce an approach for deep reinforcement learning (RL) that impro...
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04/11/2018
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input
The ability of algorithms to evolve or learn (compositional) communicati...
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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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03/23/2018
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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03/08/2018
SA-IGA: A Multiagent Reinforcement Learning Method Towards Socially Optimal Outcomes
In multiagent environments, the capability of learning is important for ...
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02/15/2018
The Mechanics of n-Player Differentiable Games
The cornerstone underpinning deep learning is the guarantee that gradien...
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11/14/2017
Symmetric Decomposition of Asymmetric Games
We introduce new theoretical insights into two-population asymmetric gam...
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11/02/2017
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
To achieve general intelligence, agents must learn how to interact with ...
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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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07/14/2017
Lenient Multi-Agent Deep Reinforcement Learning
A significant amount of research in recent years has been dedicated towa...
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06/16/2017