At Human Speed: Deep Reinforcement Learning with Action Delay von Firoiu, Vlad, Ju, Tina, Tenenbaum, Josh

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Proving Theorems using Incremental Learning and Hindsight Experience Replay von Aygün, Eser, Orseau, Laurent, Anand, Ankit, Glorot, Xavier, Firoiu, Vlad, Zhang, Lei M, Precup, Doina, Mourad, Shibl

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Learning to Prove from Synthetic Theorems von Aygün, Eser, Ahmed, Zafarali, Anand, Ankit, Firoiu, Vlad, Glorot, Xavier, Orseau, Laurent, Precup, Doina, Mourad, Shibl

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Training a First-Order Theorem Prover from Synthetic Data von Firoiu, Vlad, Aygun, Eser, Anand, Ankit, Ahmed, Zafarali, Glorot, Xavier, Orseau, Laurent, Zhang, Lei, Precup, Doina, Mourad, Shibl

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Automated curricula through setter-solver interactions von Racaniere, Sebastien, Lampinen, Andrew K, Santoro, Adam, Reichert, David P, Firoiu, Vlad, Lillicrap, Timothy P

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DISTRIBUTED TRAINING USING OFF-POLICY ACTOR-CRITIC REINFORCEMENT LEARNING von KAVUKCUOGLU, Koray, HARLEY, Timothy James Alexander, MUNOS, Remi, SOYER, Hubert Josef, DORON, Yotam, FIROIU, Vlad, ESPEHOLT, Lasse, MNIH, Volodymyr, DUNNING, Iain, WARD, Thomas, SIMONYAN, Karen

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Automatic Inference for Inverting Software Simulators via Probabilistic Programming von Saeedi, Ardavan, Firoiu, Vlad, Mansinghka, Vikash

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Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning von Firoiu, Vlad, Whitney, William F, Tenenbaum, Joshua B

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Improving alignment of dialogue agents via targeted human judgements von Glaese, Amelia, McAleese, Nat, Trębacz, Maja, Aslanides, John, Firoiu, Vlad, Ewalds, Timo, Rauh, Maribeth, Weidinger, Laura, Chadwick, Martin, Thacker, Phoebe, Campbell-Gillingham, Lucy, Uesato, Jonathan, Huang, Po-Sen, Comanescu, Ramona, Yang, Fan, See, Abigail, Dathathri, Sumanth, Greig, Rory, Chen, Charlie, Fritz, Doug, Elias, Jaume Sanchez, Green, Richard, Mokrá, Soňa, Fernando, Nicholas, Wu, Boxi, Foley, Rachel, Young, Susannah, Gabriel, Iason, Isaac, William, Mellor, John, Hassabis, Demis, Kavukcuoglu, Koray, Hendricks, Lisa Anne, Irving, Geoffrey

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DISTRIBUTED TRAINING USING ACTOR-CRITIC REINFORCEMENT LEARNING WITH OFF-POLICY CORRECTION FACTORS von Soyer, Hubert Josef, Mnih, Volodymyr, Ward, Thomas, Doron, Yotam, Simonyan, Karen, Firoiu, Vlad, Harley, Timothy James Alexander, Dunning, Iain Robert, Munos, Remi, Espeholt, Lasse, Kavukcuoglu, Koray

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Distributed training using actor-critic reinforcement learning with off-policy correction factors von Soyer, Hubert Josef, Mnih, Volodymyr, Ward, Thomas, Doron, Yotam, Simonyan, Karen, Firoiu, Vlad, Harley, Timothy James Alexander, Dunning, Iain Robert, Munos, Remi, Espeholt, Lasse, Kavukcuoglu, Koray

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DISTRIBUTED TRAINING USING ACTOR-CRITIC REINFORCEMENT LEARNING WITH OFF-POLICY CORRECTION FACTORS von Soyer, Hubert Josef, Mnih, Volodymyr, Ward, Thomas, Doron, Yotam, Simonyan, Karen, Firoiu, Vlad, Harley, Timothy James Alexander, Dunning, Iain Robert, Munos, Remi, Espeholt, Lasse, Kavukcuoglu, Koray

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Distributed training using actor-critic reinforcement learning with off-policy correction factors von Soyer, Hubert Josef, Mnih, Volodymyr, Ward, Thomas, Doron, Yotam, Simonyan, Karen, Firoiu, Vlad, Harley, Timothy James Alexander, Dunning, Iain Robert, Munos, Remi, Espeholt, Lasse, Kavukcuoglu, Koray

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Proving Theorems using Incremental Learning and Hindsight Experience Replay von Aygün, Eser, Orseau, Laurent, Anand, Ankit, Glorot, Xavier, Firoiu, Vlad, Zhang, Lei M, Precup, Doina, Shibl Mourad

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Learning to Prove from Synthetic Theorems von Aygün, Eser, Zafarali Ahmed, Anand, Ankit, Firoiu, Vlad, Glorot, Xavier, Orseau, Laurent, Precup, Doina, Shibl Mourad

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Training a First-Order Theorem Prover from Synthetic Data von Firoiu, Vlad, Aygun, Eser, Anand, Ankit, Zafarali Ahmed, Glorot, Xavier, Orseau, Laurent, Zhang, Lei, Precup, Doina, Shibl Mourad

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IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures von Espeholt, Lasse, Soyer, Hubert, Munos, Remi, Simonyan, Karen, Mnih, Volodymir, Ward, Tom, Doron, Yotam, Firoiu, Vlad, Harley, Tim, Dunning, Iain, Legg, Shane, Kavukcuoglu, Koray

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Automated curricula through setter-solver interactions von Racaniere, Sebastien, Lampinen, Andrew K, Santoro, Adam, Reichert, David P, Firoiu, Vlad, Lillicrap, Timothy P

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Automatic Inference for Inverting Software Simulators via Probabilistic Programming von Saeedi, Ardavan, Firoiu, Vlad, Mansinghka, Vikash

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Beating the World's Best at Super Smash Bros. with Deep Reinforcement Learning von Firoiu, Vlad, Whitney, William F, Tenenbaum, Joshua B

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