AI for social good: unlocking the opportunity for positive impact von Tomašev, Nenad, Cornebise, Julien, Hutter, Frank, Mohamed, Shakir, Picciariello, Angela, Connelly, Bec, Belgrave, Danielle C. M., Ezer, Daphne, Haert, Fanny Cachat van der, Mugisha, Frank, Abila, Gerald, Arai, Hiromi, Almiraat, Hisham, Proskurnia, Julia, Snyder, Kyle, Otake-Matsuura, Mihoko, Othman, Mustafa, Glasmachers, Tobias, Wever, Wilfried de, Teh, Yee Whye, Khan, Mohammad Emtiyaz, Winne, Ruben De, Schaul, Tom, Clopath, Claudia

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An Extensible Description Language for Video Games von Schaul, Tom

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Exploring parameter space in reinforcement learning von Rückstieß, Thomas, Sehnke, Frank, Schaul, Tom, Wierstra, Daan, Sun, Yi, Schmidhuber, Jürgen

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Grandmaster level in StarCraft II using multi-agent reinforcement learning von 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

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A video game description language for model-based or interactive learning von Schaul, Tom

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The 2014 General Video Game Playing Competition von Perez-Liebana, Diego, Samothrakis, Spyridon, Togelius, Julian, Schaul, Tom, Lucas, Simon M., Couetoux, Adrien, Lee, Jerry, Chong-U Lim, Thompson, Tommy

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Natural Evolution Strategies von Wierstra, D., Schaul, T., Peters, J., Schmidhuber, J.

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Boundless Socratic Learning with Language Games von Schaul, Tom

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Building machines that learn and think for themselves von Botvinick, Matthew, Barrett, David G. T., Battaglia, Peter, de Freitas, Nando, Kumaran, Darshan, Leibo, Joel Z, Lillicrap, Timothy, Modayil, Joseph, Mohamed, Shakir, Rabinowitz, Neil C., Rezende, Danilo J., Santoro, Adam, Schaul, Tom, Summerfield, Christopher, Wayne, Greg, Weber, Theophane, Wierstra, Daan, Legg, Shane, Hassabis, Demis

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Boundless Socratic Learning with Language Games von Schaul, Tom

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Optimization with Surrogate Models von Schaul, Tom

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TEMPORAL DIFFERENCE SCALING WHEN CONTROLLING AGENTS USING REINFORCEMENT LEARNING von Schaul, Tom

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TEMPORAL DIFFERENCE SCALING WHEN CONTROLLING AGENTS USING REINFORCEMENT LEARNING von SCHAUL, Tom

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TEMPORAL DIFFERENCE SCALING WHEN CONTROLLING AGENTS USING REINFORCEMENT LEARNING von SCHAUL, Tom

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CONTROLLING AGENTS BY SWITCHING BETWEEN CONTROL POLICIES DURING TASK EPISODES von Schaul, Tom, Pîslar, Miruna

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CONTROLLING AGENTS USING PROTO-GOAL PRUNING von BAGARIA, Akhil, SCHAUL, Tom

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CONTROLLING AGENTS BY SWITCHING BETWEEN CONTROL POLICIES DURING TASK EPISODES von PÎSLAR, Miruna, SCHAUL, Tom

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Metalearning von Schaul, Tom, Schmidhuber, Juergen

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CONTROLLING AGENTS BY SWITCHING BETWEEN CONTROL POLICIES DURING TASK EPISODES von PÎSLAR, Miruna, SCHAUL, Tom

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Assessment of neural networks training strategies for histomorphometric analysis of synchrotron radiation medical images von de Moura Meneses, Anderson Alvarenga, Pinheiro, Christiano Jorge Gomes, Rancoita, Paola, Schaul, Tom, Gambardella, Luca Maria, Schirru, Roberto, Barroso, Regina Cely, de Oliveira, Luís Fernando

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