Search Results - "Dalibard, Valentin"

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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Faster Improvement Rate Population Based Training by Dalibard, Valentin, Jaderberg, Max

“…The successful training of neural networks typically involves careful and time consuming hyperparameter tuning. Population Based Training (PBT) has recently…”
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Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization by Lange, Robert Tjarko, Schaul, Tom, Chen, Yutian, Lu, Chris, Zahavy, Tom, Dalibard, Valentin, Flennerhag, Sebastian

“…Genetic algorithms constitute a family of black-box optimization algorithms, which take inspiration from the principles of biological evolution. While they…”
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DemoStart: Demonstration-led auto-curriculum applied to sim-to-real with multi-fingered robots by Bauza, Maria, Chen, Jose Enrique, Dalibard, Valentin, Gileadi, Nimrod, Hafner, Roland, Martins, Murilo F, Moore, Joss, Pevceviciute, Rugile, Laurens, Antoine, Rao, Dushyant, Zambelli, Martina, Riedmiller, Martin, Scholz, Jon, Bousmalis, Konstantinos, Nori, Francesco, Heess, Nicolas

“…We present DemoStart, a novel auto-curriculum reinforcement learning method capable of learning complex manipulation behaviors on an arm equipped with a…”
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Rapid training of deep neural networks without skip connections or normalization layers using Deep Kernel Shaping by Martens, James, Ballard, Andy, Desjardins, Guillaume, Swirszcz, Grzegorz, Dalibard, Valentin, Sohl-Dickstein, Jascha, Schoenholz, Samuel S

“…Using an extended and formalized version of the Q/C map analysis of Poole et al. (2016), along with Neural Tangent Kernel theory, we identify the main…”
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Perception-Prediction-Reaction Agents for Deep Reinforcement Learning by Stooke, Adam, Dalibard, Valentin, Jayakumar, Siddhant M, Czarnecki, Wojciech M, Jaderberg, Max

“…We introduce a new recurrent agent architecture and associated auxiliary losses which improve reinforcement learning in partially observable tasks requiring…”
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Tuning the Scheduling of Distributed Stochastic Gradient Descent with Bayesian Optimization by Dalibard, Valentin, Schaarschmidt, Michael, Yoneki, Eiko

“…We present an optimizer which uses Bayesian optimization to tune the system parameters of distributed stochastic gradient descent (SGD). Given a specific…”
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RoboCat: A Self-Improving Generalist Agent for Robotic Manipulation by Bousmalis, Konstantinos, Vezzani, Giulia, Rao, Dushyant, Devin, Coline, Lee, Alex X, Bauza, Maria, Davchev, Todor, Zhou, Yuxiang, Gupta, Agrim, Raju, Akhil, Laurens, Antoine, Fantacci, Claudio, Dalibard, Valentin, Zambelli, Martina, Martins, Murilo, Pevceviciute, Rugile, Blokzijl, Michiel, Denil, Misha, Batchelor, Nathan, Lampe, Thomas, Parisotto, Emilio, Żołna, Konrad, Reed, Scott, Colmenarejo, Sergio Gómez, Scholz, Jon, Abdolmaleki, Abbas, Groth, Oliver, Regli, Jean-Baptiste, Sushkov, Oleg, Rothörl, Tom, Chen, José Enrique, Aytar, Yusuf, Barker, Dave, Ortiz, Joy, Riedmiller, Martin, Springenberg, Jost Tobias, Hadsell, Raia, Nori, Francesco, Heess, Nicolas

“…The ability to leverage heterogeneous robotic experience from different robots and tasks to quickly master novel skills and embodiments has the potential to…”
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Open-Ended Learning Leads to Generally Capable Agents by Open Ended Learning Team, Stooke, Adam, Mahajan, Anuj, Barros, Catarina, Deck, Charlie, Bauer, Jakob, Sygnowski, Jakub, Trebacz, Maja, Jaderberg, Max, Mathieu, Michael, McAleese, Nat, Bradley-Schmieg, Nathalie, Wong, Nathaniel, Porcel, Nicolas, Raileanu, Roberta, Hughes-Fitt, Steph, Dalibard, Valentin, Czarnecki, Wojciech Marian

“…In this work we create agents that can perform well beyond a single, individual task, that exhibit much wider generalisation of behaviour to a massive, rich…”
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Learning Runtime Parameters in Computer Systems with Delayed Experience Injection by Schaarschmidt, Michael, Gessert, Felix, Dalibard, Valentin, Yoneki, Eiko

“…Learning effective configurations in computer systems without hand-crafting models for every parameter is a long-standing problem. This paper investigates the…”
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A Generalized Framework for Population Based Training by Li, Ang, Spyra, Aleksandra, Perel, Sagi, Dalibard, Valentin, Jaderberg, Max, Gu, Chenjie, Budden, David, Harley, Tim, Gupta, Pramod

“…Population Based Training (PBT) is a recent approach that jointly optimizes neural network weights and hyperparameters which periodically copies weights of the…”
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Population Based Training of Neural Networks by Jaderberg, Max, Dalibard, Valentin, Osindero, Simon, Czarnecki, Wojciech M, Donahue, Jeff, Razavi, Ali, Vinyals, Oriol, Green, Tim, Dunning, Iain, Simonyan, Karen, Fernando, Chrisantha, Kavukcuoglu, Koray

“…Neural networks dominate the modern machine learning landscape, but their training and success still suffer from sensitivity to empirical choices of…”
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