Search Results - "Ring, Roman"

Grandmaster level in StarCraft II using multi-agent reinforcement learning by Vinyals, Oriol, Babuschkin, Igor, Czarnecki, Wojciech M., Mathieu, Michaël, Dudzik, Andrew, Chung, Junyoung, Choi, David H., Powell, Richard, Ewalds, Timo, Georgiev, Petko, Oh, Junhyuk, Horgan, Dan, Kroiss, Manuel, Danihelka, Ivo, Huang, Aja, Sifre, Laurent, Cai, Trevor, Agapiou, John P., Jaderberg, Max, Vezhnevets, Alexander S., Leblond, Rémi, Pohlen, Tobias, Dalibard, Valentin, Budden, David, Sulsky, Yury, Molloy, James, Paine, Tom L., Gulcehre, Caglar, Wang, Ziyu, Pfaff, Tobias, Wu, Yuhuai, Ring, Roman, Yogatama, Dani, Wünsch, Dario, McKinney, Katrina, Smith, Oliver, Schaul, Tom, Lillicrap, Timothy, Kavukcuoglu, Koray, Hassabis, Demis, Apps, Chris, Silver, David

“…Many real-world applications require artificial agents to compete and coordinate with other agents in complex environments. As a stepping stone to this goal,…”
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Red Teaming Language Models with Language Models by Perez, Ethan, Huang, Saffron, Song, Francis, Cai, Trevor, Ring, Roman, Aslanides, John, Glaese, Amelia, McAleese, Nat, Irving, Geoffrey

“…Language Models (LMs) often cannot be deployed because of their potential to harm users in hard-to-predict ways. Prior work identifies harmful behaviors before…”
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AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning by Mathieu, Michaël, Ozair, Sherjil, Srinivasan, Srivatsan, Gulcehre, Caglar, Zhang, Shangtong, Jiang, Ray, Paine, Tom Le, Powell, Richard, Żołna, Konrad, Schrittwieser, Julian, Choi, David, Georgiev, Petko, Toyama, Daniel, Huang, Aja, Ring, Roman, Babuschkin, Igor, Ewalds, Timo, Bordbar, Mahyar, Henderson, Sarah, Colmenarejo, Sergio Gómez, Oord, Aäron van den, Czarnecki, Wojciech Marian, de Freitas, Nando, Vinyals, Oriol

“…StarCraft II is one of the most challenging simulated reinforcement learning environments; it is partially observable, stochastic, multi-agent, and mastering…”
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Flamingo: a Visual Language Model for Few-Shot Learning by Alayrac, Jean-Baptiste, Donahue, Jeff, Luc, Pauline, Miech, Antoine, Barr, Iain, Hasson, Yana, Lenc, Karel, Mensch, Arthur, Millican, Katie, Reynolds, Malcolm, Ring, Roman, Rutherford, Eliza, Cabi, Serkan, Han, Tengda, Gong, Zhitao, Samangooei, Sina, Monteiro, Marianne, Menick, Jacob, Borgeaud, Sebastian, Brock, Andrew, Nematzadeh, Aida, Sharifzadeh, Sahand, Binkowski, Mikolaj, Barreira, Ricardo, Vinyals, Oriol, Zisserman, Andrew, Simonyan, Karen

“…Building models that can be rapidly adapted to novel tasks using only a handful of annotated examples is an open challenge for multimodal machine learning…”
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Improving language models by retrieving from trillions of tokens by Borgeaud, Sebastian, Mensch, Arthur, Hoffmann, Jordan, Cai, Trevor, Rutherford, Eliza, Millican, Katie, Driessche, George van den, Lespiau, Jean-Baptiste, Damoc, Bogdan, Clark, Aidan, Casas, Diego de Las, Guy, Aurelia, Menick, Jacob, Ring, Roman, Hennigan, Tom, Huang, Saffron, Maggiore, Loren, Jones, Chris, Cassirer, Albin, Brock, Andy, Paganini, Michela, Irving, Geoffrey, Vinyals, Oriol, Osindero, Simon, Simonyan, Karen, Rae, Jack W, Elsen, Erich, Sifre, Laurent

“…We enhance auto-regressive language models by conditioning on document chunks retrieved from a large corpus, based on local similarity with preceding tokens…”
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Scaling Language Models: Methods, Analysis & Insights from Training Gopher by Rae, Jack W, Borgeaud, Sebastian, Cai, Trevor, Millican, Katie, Hoffmann, Jordan, Song, Francis, Aslanides, John, Henderson, Sarah, Ring, Roman, Young, Susannah, Rutherford, Eliza, Hennigan, Tom, Menick, Jacob, Cassirer, Albin, Powell, Richard, Driessche, George van den, Hendricks, Lisa Anne, Rauh, Maribeth, Huang, Po-Sen, Glaese, Amelia, Welbl, Johannes, Dathathri, Sumanth, Huang, Saffron, Uesato, Jonathan, Mellor, John, Higgins, Irina, Creswell, Antonia, McAleese, Nat, Wu, Amy, Elsen, Erich, Jayakumar, Siddhant, Buchatskaya, Elena, Budden, David, Sutherland, Esme, Simonyan, Karen, Paganini, Michela, Sifre, Laurent, Martens, Lena, Li, Xiang Lorraine, Kuncoro, Adhiguna, Nematzadeh, Aida, Gribovskaya, Elena, Donato, Domenic, Lazaridou, Angeliki, Mensch, Arthur, Lespiau, Jean-Baptiste, Tsimpoukelli, Maria, Grigorev, Nikolai, Fritz, Doug, Sottiaux, Thibault, Pajarskas, Mantas, Pohlen, Toby, Gong, Zhitao, Toyama, Daniel, d'Autume, Cyprien de Masson, Li, Yujia, Terzi, Tayfun, Mikulik, Vladimir, Babuschkin, Igor, Clark, Aidan, Casas, Diego de Las, Guy, Aurelia, Jones, Chris, Bradbury, James, Johnson, Matthew, Hechtman, Blake, Weidinger, Laura, Gabriel, Iason, Isaac, William, Lockhart, Ed, Osindero, Simon, Rimell, Laura, Dyer, Chris, Vinyals, Oriol, Ayoub, Kareem, Stanway, Jeff, Bennett, Lorrayne, Hassabis, Demis, Kavukcuoglu, Koray, Irving, Geoffrey

“…Language modelling provides a step towards intelligent communication systems by harnessing large repositories of written human knowledge to better predict and…”
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