Search Results - "Danihelka, Ivo"

Neural scene representation and rendering by Eslami, S M Ali, Jimenez Rezende, Danilo, Besse, Frederic, Viola, Fabio, Morcos, Ari S, Garnelo, Marta, Ruderman, Avraham, Rusu, Andrei A, Danihelka, Ivo, Gregor, Karol, Reichert, David P, Buesing, Lars, Weber, Theophane, Vinyals, Oriol, Rosenbaum, Dan, Rabinowitz, Neil, King, Helen, Hillier, Chloe, Botvinick, Matt, Wierstra, Daan, Kavukcuoglu, Koray, Hassabis, Demis

“…Scene representation-the process of converting visual sensory data into concise descriptions-is a requirement for intelligent behavior. Recent work has shown…”
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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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Hybrid computing using a neural network with dynamic external memory by Graves, Alex, Wayne, Greg, Reynolds, Malcolm, Harley, Tim, Danihelka, Ivo, Grabska-Barwińska, Agnieszka, Colmenarejo, Sergio Gómez, Grefenstette, Edward, Ramalho, Tiago, Agapiou, John, Badia, Adrià Puigdomènech, Hermann, Karl Moritz, Zwols, Yori, Ostrovski, Georg, Cain, Adam, King, Helen, Summerfield, Christopher, Blunsom, Phil, Kavukcuoglu, Koray, Hassabis, Demis

“…Artificial neural networks are remarkably adept at sensory processing, sequence learning and reinforcement learning, but are limited in their ability to…”
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Planning and Policy Improvement by Danihelka, Ivo

“…MuZero is currently the most successful general reinforcement learning algorithm, achieving the state of the art on Go, chess, shogi, and Atari. We want to…”
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Muesli: Combining Improvements in Policy Optimization by Hessel, Matteo, Danihelka, Ivo, Viola, Fabio, Guez, Arthur, Schmitt, Simon, Sifre, Laurent, Weber, Theophane, Silver, David, van Hasselt, Hado

“…We propose a novel policy update that combines regularized policy optimization with model learning as an auxiliary loss. The update (henceforth Muesli) matches…”
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Optimistic Simulated Exploration as an Incentive for Real Exploration by Danihelka, Ivo

“…POSTER 2009 Many reinforcement learning exploration techniques are overly optimistic and try to explore every state. Such exploration is impossible in…”
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Comparison of Maximum Likelihood and GAN-based training of Real NVPs by Danihelka, Ivo, Lakshminarayanan, Balaji, Uria, Benigno, Wierstra, Daan, Dayan, Peter

“…We train a generator by maximum likelihood and we also train the same generator architecture by Wasserstein GAN. We then compare the generated samples, exact…”
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Grid Long Short-Term Memory by Kalchbrenner, Nal, Danihelka, Ivo, Graves, Alex

“…This paper introduces Grid Long Short-Term Memory, a network of LSTM cells arranged in a multidimensional grid that can be applied to vectors, sequences or…”
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Neural Turing Machines by Graves, Alex, Wayne, Greg, Danihelka, Ivo

“…We extend the capabilities of neural networks by coupling them to external memory resources, which they can interact with by attentional processes. The…”
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Memory-Efficient Backpropagation Through Time by Gruslys, Audrūnas, Munos, Remi, Danihelka, Ivo, Lanctot, Marc, Graves, Alex

“…We propose a novel approach to reduce memory consumption of the backpropagation through time (BPTT) algorithm when training recurrent neural networks (RNNs)…”
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Associative Long Short-Term Memory by Danihelka, Ivo, Wayne, Greg, Uria, Benigno, Kalchbrenner, Nal, Graves, Alex

“…We investigate a new method to augment recurrent neural networks with extra memory without increasing the number of network parameters. The system has an…”
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The Cramer Distance as a Solution to Biased Wasserstein Gradients by Bellemare, Marc G, Danihelka, Ivo, Dabney, Will, Mohamed, Shakir, Lakshminarayanan, Balaji, Hoyer, Stephan, Munos, Rémi

“…The Wasserstein probability metric has received much attention from the machine learning community. Unlike the Kullback-Leibler divergence, which strictly…”
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Causally Correct Partial Models for Reinforcement Learning by Rezende, Danilo J, Danihelka, Ivo, Papamakarios, George, Ke, Nan Rosemary, Jiang, Ray, Weber, Theophane, Gregor, Karol, Merzic, Hamza, Viola, Fabio, Wang, Jane, Mitrovic, Jovana, Besse, Frederic, Antonoglou, Ioannis, Buesing, Lars

“…In reinforcement learning, we can learn a model of future observations and rewards, and use it to plan the agent's next actions. However, jointly modeling…”
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Video Pixel Networks by Kalchbrenner, Nal, Oord, Aaron van den, Simonyan, Karen, Danihelka, Ivo, Vinyals, Oriol, Graves, Alex, Kavukcuoglu, Koray

“…We propose a probabilistic video model, the Video Pixel Network (VPN), that estimates the discrete joint distribution of the raw pixel values in a video. The…”
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Towards Conceptual Compression by Gregor, Karol, Besse, Frederic, Rezende, Danilo Jimenez, Danihelka, Ivo, Wierstra, Daan

“…We introduce a simple recurrent variational auto-encoder architecture that significantly improves image modeling. The system represents the state-of-the-art in…”
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One-Shot Generalization in Deep Generative Models by Rezende, Danilo Jimenez, Mohamed, Shakir, Danihelka, Ivo, Gregor, Karol, Wierstra, Daan

“…Humans have an impressive ability to reason about new concepts and experiences from just a single example. In particular, humans have an ability for one-shot…”
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OpenSpiel: A Framework for Reinforcement Learning in Games by Lanctot, Marc, Lockhart, Edward, Lespiau, Jean-Baptiste, Zambaldi, Vinicius, Upadhyay, Satyaki, Pérolat, Julien, Srinivasan, Sriram, Timbers, Finbarr, Tuyls, Karl, Omidshafiei, Shayegan, Hennes, Daniel, Morrill, Dustin, Muller, Paul, Ewalds, Timo, Faulkner, Ryan, Kramár, János, De Vylder, Bart, Saeta, Brennan, Bradbury, James, Ding, David, Borgeaud, Sebastian, Lai, Matthew, Schrittwieser, Julian, Anthony, Thomas, Hughes, Edward, Danihelka, Ivo, Ryan-Davis, Jonah

“…OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games. OpenSpiel supports…”
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Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes by Rae, Jack W, Hunt, Jonathan J, Harley, Tim, Danihelka, Ivo, Senior, Andrew, Wayne, Greg, Graves, Alex, Lillicrap, Timothy P

“…Neural networks augmented with external memory have the ability to learn algorithmic solutions to complex tasks. These models appear promising for applications…”
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Deep AutoRegressive Networks by Gregor, Karol, Danihelka, Ivo, Mnih, Andriy, Blundell, Charles, Wierstra, Daan

“…Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell, Daan Wierstra. Deep AutoRegressive Networks. In Proceedings of the 31st International Conference on…”
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DRAW: A Recurrent Neural Network For Image Generation by Gregor, Karol, Danihelka, Ivo, Graves, Alex, Rezende, Danilo Jimenez, Wierstra, Daan

“…This paper introduces the Deep Recurrent Attentive Writer (DRAW) neural network architecture for image generation. DRAW networks combine a novel spatial…”
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