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Mastering the game of Stratego with model-free multiagent reinforcement learning

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Deep Blue
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Evolution and the Theory of Games
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Mastering the game of Go without human knowledge
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Grandmaster level in StarCraft II using multi-agent reinforcement learning
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Deep Residual Learning for Image Recognition
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Designing agents for the Stratego game
inferredcites →https://doi.org/10.1111/1468-0262.00153openalex-snapshot
A Simple Adaptive Procedure Leading to Correlated Equilibrium
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inferredcites →https://doi.org/10.1126/science.aar6404openalex-snapshot
A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
inferredcites →https://doi.org/10.1126/science.aau6249openalex-snapshot
Human-level performance in 3D multiplayer games with population-based reinforcement learning
inferredcites →https://doi.org/10.1126/science.aay2400openalex-snapshot
Superhuman AI for multiplayer poker
inferredcites →https://doi.org/10.1126/science.add4679openalex-snapshot
Mastering the game of Stratego with model-free multiagent reinforcement learning
inferredcites →https://doi.org/10.1145/203330.203343openalex-snapshot
Temporal difference learning and TD-Gammon
inferredcites →https://doi.org/10.1145/238061.238163openalex-snapshot
Game theory, on-line prediction and boosting
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Evolutionary Dynamics of Multi-Agent Learning: A Survey
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Non-Cooperative Games
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The 3rd Stratego Computer World Championship
inferredcites →https://doi.org/10.3233/icg-2011-34106openalex-snapshot
Managing Uncertainty in Stratego
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A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
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IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
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Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
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Deep Counterfactual Regret Minimization
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From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
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Neural Replicator Dynamics: Multiagent Learning via Hedging Policy Gradients
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Monte Carlo Sampling for Regret Minimization in Extensive Games
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Regret Minimization in Games with Incomplete Information

What points at this work

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Report on 2307.15521v2
inferred← citeshttps://doi.org/10.21468/scipost.report.8117openalex-snapshot
Report on 2307.15521v3
inferred← citeshttps://doi.org/10.21468/scipostphys.15.6.229openalex-snapshot
Scalable imaginary time evolution with neural network quantum states
inferred← citeshttps://doi.org/10.2166/ws.2023.328openalex-snapshot
Reinforcement learning-based DSS for coagulant and disinfectant dosage selection on drinking water treatment plants
inferred← citeshttps://doi.org/10.26481/dis.20250604tpopenalex-snapshot
Monte-Carlo tree search is work in progress
inferred← citeshttps://doi.org/10.31274/td-20240329-43openalex-snapshot
Addressing stale gradients in asynchronous federated deep reinforcement learning
inferred← citeshttps://doi.org/10.3233/icg-240251openalex-snapshot
GameTable Working Group 1 meeting report on search, planning, learning, and explainability
inferred← citeshttps://doi.org/10.3366/dlgs.2023.0501openalex-snapshot
Deleuze and AlphaGo
inferred← citeshttps://doi.org/10.3389/fnbot.2023.1243174openalex-snapshot
MW-MADDPG: a meta-learning based decision-making method for collaborative UAV swarm
inferred← citeshttps://doi.org/10.3389/fnins.2024.1466013openalex-snapshot
RDA-MTE: an innovative model for emotion recognition in sports behavior decision-making
inferred← citeshttps://doi.org/10.3389/fphy.2023.1150796openalex-snapshot
Editorial: Interdisciplinary approaches to the structure and performance of interdependent autonomous human machine teams and systems
inferred← citeshttps://doi.org/10.3389/fphy.2025.1715888openalex-snapshot
Toward tunable advantages of quantum-like teams: the physics of interdependent teams to “squeeze” uncertainty
inferred← citeshttps://doi.org/10.3389/frai.2023.1014561openalex-snapshot
AlphaZe∗∗: AlphaZero-like baselines for imperfect information games are surprisingly strong
inferred← citeshttps://doi.org/10.3389/fsysb.2023.1188009openalex-snapshot
Generating synthetic multidimensional molecular time series data for machine learning: considerations
inferred← citeshttps://doi.org/10.3390/app142311336openalex-snapshot
FGRL: Federated Growing Reinforcement Learning for Resilient Mapless Navigation in Unfamiliar Environments
inferred← citeshttps://doi.org/10.3390/app15042121openalex-snapshot
Policy-Based Reinforcement Learning Approach in Imperfect Information Card Game
inferred← citeshttps://doi.org/10.3390/biomedicines12092143openalex-snapshot
Reinforcement Learning: A Paradigm Shift in Personalized Blood Glucose Management for Diabetes
inferred← citeshttps://doi.org/10.3390/e25091323openalex-snapshot
A Quantum-like Model of Interdependence for Embodied Human–Machine Teams: Reviewing the Path to Autonomy Facing Complexity and Uncertainty
inferred← citeshttps://doi.org/10.3390/electronics12214411openalex-snapshot
Machine Learning Empowering Personalized Medicine: A Comprehensive Review of Medical Image Analysis Methods
inferred← citeshttps://doi.org/10.3390/electronics14081573openalex-snapshot
Gamification as an Innovative Approach for the Assessment of Procedural Knowledge
inferred← citeshttps://doi.org/10.3390/machines11030402openalex-snapshot
Optimizing Cascaded Control of Mechatronic Systems through Constrained Residual Reinforcement Learning
inferred← citeshttps://doi.org/10.3758/s13428-026-03078-xopenalex-snapshot
CoGrid & the Multi-User Gymnasium: A framework for multi-agent experimentation
inferred← citeshttps://doi.org/10.5772/intechopen.1011751openalex-snapshot
AI-Powered Augmented Reality as a Threat Vector for Human Manipulation
inferred← citeshttps://doi.org/10.61186/jsdp.20.4.129openalex-snapshot
Maximize Score in stochastic match-3 games using reinforcement learning
inferred← citeshttps://doi.org/10.63995/pgje3232openalex-snapshot
Mastering the Attention Economy: Strategies for Competing on Digital Platforms
inferred← citeshttps://doi.org/10.70675/179f7b5azad23z4e41zab4fz104a7ade2bf2openalex-snapshot
Experimental and Theoretical Analysis of Reinforcement Learning Algorithms
inferred← citeshttps://doi.org/10.70675/9095d69azf412z43c2za047ze8e9d974bb22openalex-snapshot
Games with incomplete information : complexity, algorithmics, reasoning
inferred← citeshttps://doi.org/10.70675/b874d282zc3afz4d78zbf49z7e3702e3fe91openalex-snapshot
Of Population-Based Methods for Multiagent Reinforcement Learning
inferred← citeshttps://doi.org/10.70675/fb9b909fz7934z4263zb2ffzdb82dbcae559openalex-snapshot
Individual and group learning dynamics in evolutionary collective robotics
inferred← citeshttps://doi.org/10.7717/peerj-cs.2588openalex-snapshot
Clustering-based Failed goal Aware Hindsight Experience Replay
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