Difference between revisions of "Google DeepMind AlphaGo Zero"
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* [[Architectures]] | * [[Architectures]] | ||
* [[Google DeepMind AlphaFold]] | * [[Google DeepMind AlphaFold]] | ||
| + | * [[Google DeepMind AlphaStar]] | ||
* [[Minigo]] | * [[Minigo]] | ||
* [[Monte Carlo#Monte Carlo Tree Search|Monte Carlo Tree Search]] | * [[Monte Carlo#Monte Carlo Tree Search|Monte Carlo Tree Search]] | ||
Revision as of 06:03, 20 August 2019
Youtube search... ...Google search
- Service Capabilities
- Evolutionary Computation / Genetic Algorithms
- Architectures
- Google DeepMind AlphaFold
- Google DeepMind AlphaStar
- Minigo
- Monte Carlo Tree Search
- Mastering the game of Go with deep neural networks and tree search | D. Silver, A. Huang, C. Maddison, A. Guez, L. Sifre, G. van den Driessche, J. Schrittwieser, I. Antonoglou, V. Panneershelvam, M. Lanctot, S. Dieleman, D. Grewe, J. Nham, N. Kalchbrenner, I. Sutskever, T. Lillicrap, M. Leach, K. Kavukcuoglu, T. Graepel & D. Hassabis - Nature
- Mastering the game of Go without human knowledge | Google DeepMind: D. Silver, J. Schrittwieser, K. Simonyan, I. Antonoglou, A. Huang, A. Guez, T. Hubert, L. Baker, M. Lai, A. Bolton, Y. Chen, T. Lillicrap, F. Hui, L. Sifre, G. wan den Driessehe, T. Graepel, & D. Hassabis
- A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play | Google DeepMind: D. Silver, J. Schrittwieser, K. Simonyan, I. Antonoglou, A. Huang, A. Guez, T. Hubert, L. Baker, M. Lai, A. Bolton, Y. Chen, T. Lillicrap, F. Hui, L. Sifre, G. wan den Driessehe, T. Graepel, & D. Hassabis - Science
Monte Carlo Tree Search
