Grandmaster level in StarCraft II using multi-agent reinforcement learning
Oriol Vinyals, I. Babuschkin, Wojciech Marian Czarnecki, Michaël Mathieu low, Andrew Dudzik low, Jun‐Young Chung, David Choi, Richard Powell, Timo Ewalds, Petko Georgiev low, Junhyuk Oh, Dan Horgan, Ivo Danihelka, Aja Huang, Laurent Sifre, Trevor Cai low, John Agapiou, Max Jaderberg, Alexander Sasha Vezhnevets low, Rémi Leblond low, Tobias Pohlen low, Valentin Dalibard, David Budden, Yury Sulsky low, James Molloy, Tom Le Paine low, Çağlar Gülçehre, Ziyu Wang, Tobias Pfaff, Yuhuai Wu low, Roman Ring low, Dani Yogatama, Dario Wünsch, Katrina McKinney low, Oliver Smith, Tom Schaul, Timothy Lillicrap, Koray Kavukcuoglu, Demis Hassabis, Chris Apps low, David Silver
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- Generative Agents: Interactive Simulacra of Human Behavior→Grandmaster level in StarCraft II using multi-agent reinforcement learningLegacy edge — source detail unavailable
- Secure, privacy-preserving and federated machine learning in medical imaging→Grandmaster level in StarCraft II using multi-agent reinforcement learningLegacy edge — source detail unavailable
- A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development→Grandmaster level in StarCraft II using multi-agent reinforcement learningLegacy edge — source detail unavailable
- Mastering Atari, Go, chess and shogi by planning with a learned model→Grandmaster level in StarCraft II using multi-agent reinforcement learningLegacy edge — source detail unavailable
- Grandmaster level in StarCraft II using multi-agent reinforcement learning→Long Short-Term MemoryLegacy edge — source detail unavailable
- Grandmaster level in StarCraft II using multi-agent reinforcement learning→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
- Grandmaster level in StarCraft II using multi-agent reinforcement learning→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
- Grandmaster level in StarCraft II using multi-agent reinforcement learning→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
- Grandmaster level in StarCraft II using multi-agent reinforcement learning→Recurrent neural network based language modelLegacy edge — source detail unavailable
- Grandmaster level in StarCraft II using multi-agent reinforcement learning→Learning to Predict by the Methods of Temporal DifferencesLegacy edge — source detail unavailable
- Grandmaster level in StarCraft II using multi-agent reinforcement learning→A general reinforcement learning algorithm that masters chess, shogi, and Go through self…Legacy edge — source detail unavailable
- Grandmaster level in StarCraft II using multi-agent reinforcement learning→Asynchronous Methods for Deep Reinforcement LearningLegacy edge — source detail unavailable
- Reinforcement Learning: An Introduction→Learning to Predict by the Methods of Temporal DifferencesLegacy edge — source detail unavailable
- Mastering the game of Go with deep neural networks and tree search→Learning to Predict by the Methods of Temporal DifferencesLegacy edge — source detail unavailable
- Mastering the game of Go with deep neural networks and tree search→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
- Mastering the game of Go with deep neural networks and tree search→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
- Asynchronous Methods for Deep Reinforcement Learning→Long Short-Term MemoryLegacy edge — source detail unavailable
- Asynchronous Methods for Deep Reinforcement Learning→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
- A general reinforcement learning algorithm that masters chess, shogi, and Go through self…→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
- Secure, privacy-preserving and federated machine learning in medical imaging→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
- Mastering Atari, Go, chess and shogi by planning with a learned model→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
- Mastering Atari, Go, chess and shogi by planning with a learned model→Mastering the game of Go with deep neural networks and tree searchLegacy edge — source detail unavailable
- Mastering Atari, Go, chess and shogi by planning with a learned model→A general reinforcement learning algorithm that masters chess, shogi, and Go through self…Legacy edge — source detail unavailable
- A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development→Recurrent neural network based language modelLegacy edge — source detail unavailable
- A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development→A general reinforcement learning algorithm that masters chess, shogi, and Go through self…Legacy edge — source detail unavailable
- A Brief Overview of ChatGPT: The History, Status Quo and Potential Future Development→Reinforcement Learning: An IntroductionLegacy edge — source detail unavailable
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| Artificial Intelligence in Games | Computer Science |
| Digital Games and Media | Social Sciences |
| Gambling Behavior and Treatments | Psychology |
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