Ziyu Wang - RankMe

53 papers A* 10A 2Misc 2Journal 33Unranked 6

Year	Rank	Type	Title / Venue / Authors
2021	A*	`conf`	Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization. ICLR Michael R. Zhang, Thomas Paine, Ofir Nachum, Cosmin Paduraru, George Tucker, Ziyu Wang, Mohammad Norouzi
2021	J	`jnl`	Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization. CoRR Michael R. Zhang, Tom Le Paine, Ofir Nachum, Cosmin Paduraru, George Tucker, Ziyu Wang, Mohammad Norouzi
2021	A*	`conf`	Benchmarks for Deep Off-Policy Evaluation. ICLR Justin Fu, Mohammad Norouzi, Ofir Nachum, George Tucker, Ziyu Wang, Alexander Novikov, Mengjiao Yang, Michael R. Zhang, Yutian Chen, Aviral Kumar, Cosmin Paduraru, Sergey Levine, Tom Le Paine
2021	J	`jnl`	Benchmarks for Deep Off-Policy Evaluation. CoRR Justin Fu, Mohammad Norouzi, Ofir Nachum, George Tucker, Ziyu Wang, Alexander Novikov, Mengjiao Yang, Michael R. Zhang, Yutian Chen, Aviral Kumar, Cosmin Paduraru, Sergey Levine, Tom Le Paine
2021	J	`jnl`	Regularized Behavior Value Estimation. CoRR Çaglar Gülçehre, Sergio Gómez Colmenarejo, Ziyu Wang, Jakub Sygnowski, Thomas Paine, Konrad Zolna, Yutian Chen, Matthew W. Hoffman, Razvan Pascanu, Nando de Freitas
2020	J	`jnl`	Acme: A Research Framework for Distributed Reinforcement Learning. CoRR Matt Hoffman, Bobak Shahriari, John Aslanides, Gabriel Barth-Maron, Feryal M. P. Behbahani, Tamara Norman, Abbas Abdolmaleki, Albin Cassirer, Fan Yang, Kate Baumli, Sarah Henderson, Alexander Novikov, Sergio Gómez Colmenarejo, Serkan Cabi, Çaglar Gülçehre, Tom Le Paine, Andrew Cowie, Ziyu Wang, Bilal Piot, Nando de Freitas
2020	A*	`conf`	Critic Regularized Regression. NeurIPS Ziyu Wang, Alexander Novikov, Konrad Zolna, Josh Merel, Jost Tobias Springenberg, Scott E. Reed, Bobak Shahriari, Noah Y. Siegel, Çaglar Gülçehre, Nicolas Heess, Nando de Freitas
2020	J	`jnl`	Critic Regularized Regression. CoRR Ziyu Wang, Alexander Novikov, Konrad Zolna, Jost Tobias Springenberg, Scott E. Reed, Bobak Shahriari, Noah Y. Siegel, Josh Merel, Çaglar Gülçehre, Nicolas Heess, Nando de Freitas
2020	J	`jnl`	Hyperparameter Selection for Offline Reinforcement Learning. CoRR Tom Le Paine, Cosmin Paduraru, Andrea Michi, Çaglar Gülçehre, Konrad Zolna, Alexander Novikov, Ziyu Wang, Nando de Freitas
2020	A*	`conf`	Making Efficient Use of Demonstrations to Solve Hard Exploration Problems. ICLR Çaglar Gülçehre, Tom Le Paine, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil C. Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team
2020	J	`jnl`	Offline Learning from Demonstrations and Unlabeled Experience. CoRR Konrad Zolna, Alexander Novikov, Ksenia Konyushkova, Çaglar Gülçehre, Ziyu Wang, Yusuf Aytar, Misha Denil, Nando de Freitas, Scott E. Reed
2020	A*	`conf`	RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning. NeurIPS Çaglar Gülçehre, Ziyu Wang, Alexander Novikov, Thomas Paine, Sergio Gómez Colmenarejo, Konrad Zolna, Rishabh Agarwal, Josh Merel, Daniel J. Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matthew Hoffman, Nicolas Heess, Nando de Freitas
2020	J	`jnl`	RL Unplugged: Benchmarks for Offline Reinforcement Learning. CoRR Çaglar Gülçehre, Ziyu Wang, Alexander Novikov, Tom Le Paine, Sergio Gómez Colmenarejo, Konrad Zolna, Rishabh Agarwal, Josh Merel, Daniel J. Mankowitz, Cosmin Paduraru, Gabriel Dulac-Arnold, Jerry Li, Mohammad Norouzi, Matt Hoffman, Ofir Nachum, George Tucker, Nicolas Heess, Nando de Freitas
2020	—	`conf`	Scaling data-driven robotics with reward sketching and batch reinforcement learning. Robotics: Science and Systems Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott E. Reed, Rae Jeong, Konrad Zolna, Yusuf Aytar, David Budden, Mel Vecerík, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang
2020	Misc	`conf`	Task-Relevant Adversarial Imitation Learning. CoRL Konrad Zolna, Scott E. Reed, Alexander Novikov, Sergio Gómez Colmenarejo, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang
2019	J	`jnl`	A Framework for Data-Driven Robotics. CoRR Serkan Cabi, Sergio Gómez Colmenarejo, Alexander Novikov, Ksenia Konyushkova, Scott E. Reed, Rae Jeong, Konrad Zolna, Yusuf Aytar, David Budden, Mel Vecerík, Oleg Sushkov, David Barker, Jonathan Scholz, Misha Denil, Nando de Freitas, Ziyu Wang
2019	J	`jnl`	Grandmaster level in StarCraft II using multi-agent reinforcement learning. Nat. Oriol Vinyals, Igor Babuschkin, Wojciech M. Czarnecki, Michaël Mathieu, Andrew Dudzik, Junyoung Chung, David H. Choi, Richard Powell, Timo Ewalds, Petko Georgiev, Junhyuk Oh, Dan Horgan, Manuel Kroiss, Ivo Danihelka, Aja Huang, Laurent Sifre, Trevor Cai, John P. Agapiou, Max Jaderberg, Alexander Sasha Vezhnevets, Rémi Leblond, Tobias Pohlen, Valentin Dalibard, David Budden, Yury Sulsky, James Molloy, Tom Le Paine, Çaglar Gülçehre, Ziyu Wang, Tobias Pfaff, Yuhuai Wu, Roman Ring, Dani Yogatama, Dario Wünsch, Katrina McKinney, Oliver Smith, Tom Schaul, Timothy P. Lillicrap, Koray Kavukcuoglu, Demis Hassabis, Chris Apps, David Silver
2019	J	`jnl`	Making Efficient Use of Demonstrations to Solve Hard Exploration Problems. CoRR Tom Le Paine, Çaglar Gülçehre, Bobak Shahriari, Misha Denil, Matt Hoffman, Hubert Soyer, Richard Tanburn, Steven Kapturowski, Neil C. Rabinowitz, Duncan Williams, Gabriel Barth-Maron, Ziyu Wang, Nando de Freitas, Worlds Team
2019	J	`jnl`	Task-Relevant Adversarial Imitation Learning. CoRR Konrad Zolna, Scott E. Reed, Alexander Novikov, Sergio Gomez Colmenarejo, David Budden, Serkan Cabi, Misha Denil, Nando de Freitas, Ziyu Wang
2018	J	`jnl`	Bayesian Optimization in AlphaGo. CoRR Yutian Chen, Aja Huang, Ziyu Wang, Ioannis Antonoglou, Julian Schrittwieser, David Silver, Nando de Freitas
2018	—	`conf`	Learning an Embedding Space for Transferable Robot Skills. ICLR (Poster) Karol Hausman, Jost Tobias Springenberg, Ziyu Wang, Nicolas Heess, Martin A. Riedmiller
2018	J	`jnl`	One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL. CoRR Tom Le Paine, Sergio Gomez Colmenarejo, Ziyu Wang, Scott E. Reed, Yusuf Aytar, Tobias Pfaff, Matthew W. Hoffman, Gabriel Barth-Maron, Serkan Cabi, David Budden, Nando de Freitas
2018	A*	`conf`	Playing hard exploration games by watching YouTube. NeurIPS Yusuf Aytar, Tobias Pfaff, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas
2018	J	`jnl`	Playing hard exploration games by watching YouTube. CoRR Yusuf Aytar, Tobias Pfaff, David Budden, Tom Le Paine, Ziyu Wang, Nando de Freitas
2018	—	`conf`	Reinforcement and Imitation Learning for Diverse Visuomotor Skills. Robotics: Science and Systems Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess
2018	J	`jnl`	Reinforcement and Imitation Learning for Diverse Visuomotor Skills. CoRR Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess
2017	J	`jnl`	Emergence of Locomotion Behaviours in Rich Environments. CoRR Nicolas Heess, Dhruva TB, Srinivasan Sriram, Jay Lemmon, Josh Merel, Greg Wayne, Yuval Tassa, Tom Erez, Ziyu Wang, S. M. Ali Eslami, Martin A. Riedmiller, David Silver
2017	J	`jnl`	Learning human behaviors from motion capture by adversarial imitation. CoRR Josh Merel, Yuval Tassa, Dhruva TB, Sriram Srinivasan, Jay Lemmon, Ziyu Wang, Greg Wayne, Nicolas Heess
2017	A*	`conf`	Parallel Multiscale Autoregressive Density Estimation. ICML Scott E. Reed, Aäron van den Oord, Nal Kalchbrenner, Sergio Gomez Colmenarejo, Ziyu Wang, Yutian Chen, Dan Belov, Nando de Freitas
2017	J	`jnl`	Parallel Multiscale Autoregressive Density Estimation. CoRR Scott E. Reed, Aäron van den Oord, Nal Kalchbrenner, Sergio Gomez Colmenarejo, Ziyu Wang, Dan Belov, Nando de Freitas
2017	—	`conf`	Robust Imitation of Diverse Behaviors. NIPS Ziyu Wang, Josh Merel, Scott E. Reed, Nando de Freitas, Gregory Wayne, Nicolas Heess
2017	J	`jnl`	Robust Imitation of Diverse Behaviors. CoRR Ziyu Wang, Josh Merel, Scott E. Reed, Greg Wayne, Nando de Freitas, Nicolas Heess
2017	—	`conf`	Sample Efficient Actor-Critic with Experience Replay. ICLR (Poster) Ziyu Wang, Victor Bapst, Nicolas Heess, Volodymyr Mnih, Rémi Munos, Koray Kavukcuoglu, Nando de Freitas
2017	Misc	`conf`	The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously. CoRL Serkan Cabi, Sergio Gomez Colmenarejo, Matthew W. Hoffman, Misha Denil, Ziyu Wang, Nando de Freitas
2017	J	`jnl`	The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously. CoRR Serkan Cabi, Sergio Gomez Colmenarejo, Matthew W. Hoffman, Misha Denil, Ziyu Wang, Nando de Freitas
2016	J	`jnl`	Bayesian Optimization in a Billion Dimensions via Random Embeddings. J. Artif. Intell. Res. Ziyu Wang, Frank Hutter, Masrour Zoghi, David Matheson, Nando de Freitas
2016	A*	`conf`	Dueling Network Architectures for Deep Reinforcement Learning. ICML Ziyu Wang, Tom Schaul, Matteo Hessel, Hado van Hasselt, Marc Lanctot, Nando de Freitas
2016	J	`jnl`	Sample Efficient Actor-Critic with Experience Replay. CoRR Ziyu Wang, Victor Bapst, Nicolas Heess, Volodymyr Mnih, Rémi Munos, Koray Kavukcuoglu, Nando de Freitas
2016	J	`jnl`	Taking the Human Out of the Loop: A Review of Bayesian Optimization. Proc. IEEE Bobak Shahriari, Kevin Swersky, Ziyu Wang, Ryan P. Adams, Nando de Freitas
2015	A*	`conf`	Deep Fried Convnets. ICCV Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alexander J. Smola, Le Song, Ziyu Wang
2015	J	`jnl`	Dueling Network Architectures for Deep Reinforcement Learning. CoRR Ziyu Wang, Nando de Freitas, Marc Lanctot
2014	J	`jnl`	An Entropy Search Portfolio for Bayesian Optimization. CoRR Bobak Shahriari, Ziyu Wang, Matthew W. Hoffman, Alexandre Bouchard-Côté, Nando de Freitas
2014	A	`conf`	Bayesian Multi-Scale Optimistic Optimization. AISTATS Ziyu Wang, Babak Shakibi, Lin Jin, Nando de Freitas
2014	J	`jnl`	Bayesian Multi-Scale Optimistic Optimization. CoRR Ziyu Wang, Babak Shakibi, Lin Jin, Nando de Freitas
2014	J	`jnl`	Bayesian Optimisation for Machine Translation. CoRR Yishu Miao, Ziyu Wang, Phil Blunsom
2014	J	`jnl`	Deep Fried Convnets. CoRR Zichao Yang, Marcin Moczulski, Misha Denil, Nando de Freitas, Alexander J. Smola, Le Song, Ziyu Wang
2014	J	`jnl`	Heteroscedastic Treed Bayesian Optimisation. CoRR John-Alexander M. Assael, Ziyu Wang, Nando de Freitas
2014	J	`jnl`	Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters. CoRR Ziyu Wang, Nando de Freitas
2013	—	`conf`	Adaptive Hamiltonian and Riemann Manifold Monte Carlo. ICML (3) Ziyu Wang, Shakir Mohamed, Nando de Freitas
2013	A*	`conf`	Bayesian Optimization in High Dimensions via Random Embeddings. IJCAI Ziyu Wang, Masrour Zoghi, Frank Hutter, David Matheson, Nando de Freitas
2013	J	`jnl`	Bayesian Optimization in a Billion Dimensions via Random Embeddings CoRR Ziyu Wang, Masrour Zoghi, Frank Hutter, David Matheson, Nando de Freitas
2013	J	`jnl`	Self-Avoiding Random Dynamics on Integer Complex Systems. ACM Trans. Model. Comput. Simul. Firas Hamze, Ziyu Wang, Nando de Freitas
2012	A	`conf`	Adaptive MCMC with Bayesian Optimization. AISTATS Nimalan Mahendran, Ziyu Wang, Firas Hamze, Nando de Freitas