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Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings

Dec 16, 2020
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf


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Offline Learning from Demonstrations and Unlabeled Experience

Nov 27, 2020
Konrad Zolna, Alexander Novikov, Ksenia Konyushkova, Caglar Gulcehre, Ziyu Wang, Yusuf Aytar, Misha Denil, Nando de Freitas, Scott Reed

* Accepted to Offline Reinforcement Learning Workshop at Neural Information Processing Systems (2020) 

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Further Analysis of Outlier Detection with Deep Generative Models

Oct 25, 2020
Ziyu Wang, Bin Dai, David Wipf, Jun Zhu

* NeurIPS 2020 

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POP909: A Pop-song Dataset for Music Arrangement Generation

Aug 17, 2020
Ziyu Wang, Ke Chen, Junyan Jiang, Yiyi Zhang, Maoran Xu, Shuqi Dai, Xianbin Gu, Gus Xia

* In Proceedings of 21st International Conference on Music Information Retrieval (ISMIR), Montreal, Canada (virtual conference), 2020 

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Learning Interpretable Representation for Controllable Polyphonic Music Generation

Aug 17, 2020
Ziyu Wang, Dingsu Wang, Yixiao Zhang, Gus Xia

* In Proceedings of 21st International Conference on Music Information Retrieval (ISMIR), Montreal, Canada, 2020 

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PIANOTREE VAE: Structured Representation Learning for Polyphonic Music

Aug 17, 2020
Ziyu Wang, Yiyi Zhang, Yixiao Zhang, Junyan Jiang, Ruihan Yang, Junbo Zhao, Gus Xia

* In Proceedings of 21st International Conference on Music Information Retrieval (ISMIR), Montreal, Canada (virtual conference), 2020 

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Hyperparameter Selection for Offline Reinforcement Learning

Jul 17, 2020
Tom Le Paine, Cosmin Paduraru, Andrea Michi, Caglar Gulcehre, Konrad Zolna, Alexander Novikov, Ziyu Wang, Nando de Freitas


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RL Unplugged: Benchmarks for Offline Reinforcement Learning

Jul 02, 2020
Caglar Gulcehre, Ziyu Wang, Alexander Novikov, Tom Le Paine, Sergio Gomez Colmenarejo, Konrad Zolna, Rishabh Agarwal, Josh Merel, Daniel Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matt Hoffman, Ofir Nachum, George Tucker, Nicolas Heess, Nando de Freitas

* 21 pages including supplementary material, the github link for the datasets: https://github.com/deepmind/deepmind-research/rl_unplugged 

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Critic Regularized Regression

Jun 26, 2020
Ziyu Wang, Alexander Novikov, Konrad 呕o艂na, Jost Tobias Springenberg, Scott Reed, Bobak Shahriari, Noah Siegel, Josh Merel, Caglar Gulcehre, Nicolas Heess, Nando de Freitas

* 23 pages 

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Acme: A Research Framework for Distributed Reinforcement Learning

Jun 01, 2020
Matt Hoffman, Bobak Shahriari, John Aslanides, Gabriel Barth-Maron, Feryal Behbahani, Tamara Norman, Abbas Abdolmaleki, Albin Cassirer, Fan Yang, Kate Baumli, Sarah Henderson, Alex Novikov, Sergio G贸mez Colmenarejo, Serkan Cabi, Caglar Gulcehre, Tom Le Paine, Andrew Cowie, Ziyu Wang, Bilal Piot, Nando de Freitas


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A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models

Feb 18, 2020
Ziyu Wang, Shuyu Cheng, Yueru Li, Jun Zhu, Bo Zhang

* AISTATS 2020 

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The Usual Suspects? Reassessing Blame for VAE Posterior Collapse

Dec 23, 2019
Bin Dai, Ziyu Wang, David Wipf


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Task-Relevant Adversarial Imitation Learning

Oct 02, 2019
Konrad Zolna, Scott Reed, Alexander Novikov, Sergio Gomez Colmenarej, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang


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A Framework for Data-Driven Robotics

Sep 26, 2019
Serkan Cabi, Sergio G贸mez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott Reed, Rae Jeong, Konrad 呕o艂na, Yusuf Aytar, David Budden, Mel Vecerik, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang


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Making Efficient Use of Demonstrations to Solve Hard Exploration Problems

Sep 03, 2019
Tom Le Paine, Caglar Gulcehre, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team


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Deep Music Analogy Via Latent Representation Disentanglement

Jul 08, 2019
Ruihan Yang, Dingsu Wang, Ziyu Wang, Tianyao Chen, Junyan Jiang, Gus Xia

* Accepted at the International Society for Music Information Retrieval (ISMIR), 2019 

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Function Space Particle Optimization for Bayesian Neural Networks

Feb 26, 2019
Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang

* To appear in ICLR 19 

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A Framework for Automated Pop-song Melody Generation with Piano Accompaniment Arrangement

Dec 28, 2018
Ziyu Wang, Gus Xia

* In Proceeding of 6th Conference on Sound and Music Technology, 2018, Xiamen, China 

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Bayesian Optimization in AlphaGo

Dec 17, 2018
Yutian Chen, Aja Huang, Ziyu Wang, Ioannis Antonoglou, Julian Schrittwieser, David Silver, Nando de Freitas


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One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL

Oct 11, 2018
Tom Le Paine, Sergio G贸mez Colmenarejo, Ziyu Wang, Scott Reed, Yusuf Aytar, Tobias Pfaff, Matt W. Hoffman, Gabriel Barth-Maron, Serkan Cabi, David Budden, Nando de Freitas


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Playing hard exploration games by watching YouTube

May 29, 2018
Yusuf Aytar, Tobias Pfaff, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas


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Reinforcement and Imitation Learning for Diverse Visuomotor Skills

May 27, 2018
Yuke Zhu, Ziyu Wang, Josh Merel, Andrei Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, J谩nos Kram谩r, Raia Hadsell, Nando de Freitas, Nicolas Heess

* 13 pages, 6 figures, Published in RSS 2018 

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Robust Imitation of Diverse Behaviors

Jul 14, 2017
Ziyu Wang, Josh Merel, Scott Reed, Greg Wayne, Nando de Freitas, Nicolas Heess


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The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously

Jul 11, 2017
Serkan Cabi, Sergio G贸mez Colmenarejo, Matthew W. Hoffman, Misha Denil, Ziyu Wang, Nando de Freitas


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Emergence of Locomotion Behaviours in Rich Environments

Jul 10, 2017
Nicolas Heess, Dhruva TB, Srinivasan Sriram, Jay Lemmon, Josh Merel, Greg Wayne, Yuval Tassa, Tom Erez, Ziyu Wang, S. M. Ali Eslami, Martin Riedmiller, David Silver


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Sample Efficient Actor-Critic with Experience Replay

Jul 10, 2017
Ziyu Wang, Victor Bapst, Nicolas Heess, Volodymyr Mnih, Remi Munos, Koray Kavukcuoglu, Nando de Freitas

* 20 pages. Prepared for ICLR 2017 

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