Standout Papers

Human-level performance in 3D multiplayer games with population-based reinforcement learning 2019 2026 2021 2023 298
  1. Human-level performance in 3D multiplayer games with population-based reinforcement learning (2019)
    Max Jaderberg, Wojciech Marian Czarnecki et al. Science

Citation Impact

Citing Papers

Is multiagent deep reinforcement learning the answer or the question? A brief survey
2018
Ethical considerations about artificial intelligence for prognostication in intensive care
2019
Explainability for artificial intelligence in healthcare: a multidisciplinary perspective
2020 Standout
Reinforcement Learning, Fast and Slow
2019 StandoutNobel
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
2020
Understanding the interplay of artificial intelligence and strategic management: four decades of research in review
2020
Quantum indistinguishability by path identity and with undetected photons
2022 StandoutNobel
Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and Applications
2020 Standout
Quantum optimal control of multilevel dissipative quantum systems with reinforcement learning
2021
Beyond Accuracy: The Role of Mental Models in Human-AI Team Performance
2019
Deep Reinforcement Learning: A Survey
2022 Standout
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence
2023 Standout
Computer-inspired quantum experiments
2020 StandoutNobel
Unlocking the value of artificial intelligence in human resource management through AI capability framework
2022 Standout
A survey and critique of multiagent deep reinforcement learning
2019
Artificial Intelligence and Business Value: a Literature Review
2021 Standout
Model-Free Quantum Control with Reinforcement Learning
2022 StandoutNobel

Works of Avraham Ruderman being referenced

Human-level performance in 3D multiplayer games with population-based reinforcement learning
2019 StandoutScienceNobel
Rankless by CCL
2026