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03/02/2023
Population-based Evaluation in Repeated Rock-Paper-Scissors as a Benchmark for Multiagent Reinforcement Learning
Progress in fields of machine learning and adversarial planning has bene...
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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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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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02/15/2022
NeuPL: Neural Population Learning
Learning in strategy games (e.g. StarCraft, poker) requires the discover...
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11/09/2021
Which priors matter? Benchmarking models for learning latent dynamics
Learning dynamics is at the heart of many important applications of mach...
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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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06/08/2021
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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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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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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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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06/01/2019