Adaptive MCMC with Bayesian Optimization. - Nimalan Mahendran; Ziyu Wang 001; Firas Hamze; Nando de Freitas (AISTATS, 2012)

Adaptive Hamiltonian and Riemann Manifold Monte Carlo. - Ziyu Wang 001; Shakir Mohamed; Nando de Freitas (ICML (3), 2013)

Bayesian Optimization in High Dimensions via Random Embeddings. - Ziyu Wang 001; Masrour Zoghi; Frank Hutter; David Matheson; Nando de Freitas (IJCAI, 2013)

Self-Avoiding Random Dynamics on Integer Complex Systems. - Firas Hamze; Ziyu Wang 001; Nando de Freitas (ACM Trans. Model. Comput. Simul., 2013)

Bayesian Multi-Scale Optimistic Optimization. - Ziyu Wang 001; Babak Shakibi; Lin Jin; Nando de Freitas (AISTATS, 2014)

Heteroscedastic Treed Bayesian Optimisation. - John-Alexander M. Assael; Ziyu Wang 001; Nando de Freitas (CoRR, 2014)

Bayesian Optimisation for Machine Translation. - Yishu Miao; Ziyu Wang 001; Phil Blunsom (CoRR, 2014)

An Entropy Search Portfolio for Bayesian Optimization. - Bobak Shahriari; Ziyu Wang 001; Matthew W. Hoffman; Alexandre Bouchard-Côté; Nando de Freitas (CoRR, 2014)

Theoretical Analysis of Bayesian Optimisation with Unknown Gaussian Process Hyper-Parameters. - Ziyu Wang 001; Nando de Freitas (CoRR, 2014)

Deep Fried Convnets. - Zichao Yang; Marcin Moczulski; Misha Denil; Nando de Freitas; Alexander J. Smola; Le Song; Ziyu Wang 001 (ICCV, 2015)

Dueling Network Architectures for Deep Reinforcement Learning. - Ziyu Wang 001; Nando de Freitas; Marc Lanctot (CoRR, 2015)

Dueling Network Architectures for Deep Reinforcement Learning. - Ziyu Wang 001; Tom Schaul; Matteo Hessel; Hado van Hasselt; Marc Lanctot; Nando de Freitas (ICML, 2016)

Bayesian Optimization in a Billion Dimensions via Random Embeddings. - Ziyu Wang 001; Frank Hutter; Masrour Zoghi; David Matheson; Nando de Freitas (J. Artif. Intell. Res., 2016)

Taking the Human Out of the Loop: A Review of Bayesian Optimization. - Bobak Shahriari; Kevin Swersky; Ziyu Wang 001; Ryan P. Adams; Nando de Freitas (Proc. IEEE, 2016)

The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously. - Serkan Cabi; Sergio Gomez Colmenarejo; Matthew W. Hoffman; Misha Denil; Ziyu Wang 001; Nando de Freitas (CoRL, 2017)

Sample Efficient Actor-Critic with Experience Replay. - Ziyu Wang 001; Victor Bapst; Nicolas Heess; Volodymyr Mnih; Rémi Munos; Koray Kavukcuoglu; Nando de Freitas (ICLR (Poster), 2017)

Parallel Multiscale Autoregressive Density Estimation. - Scott E. Reed; Aäron van den Oord; Nal Kalchbrenner; Sergio Gomez Colmenarejo; Ziyu Wang 001; Yutian Chen 001; Dan Belov; Nando de Freitas (ICML, 2017)

Robust Imitation of Diverse Behaviors. - Ziyu Wang 001; Josh Merel; Scott E. Reed; Nando de Freitas; Gregory Wayne; Nicolas Heess (NIPS, 2017)

Emergence of Locomotion Behaviours in Rich Environments. - Nicolas Heess; Dhruva TB; Srinivasan Sriram; Jay Lemmon; Josh Merel; Greg Wayne; Yuval Tassa; Tom Erez; Ziyu Wang 001; S. M. Ali Eslami; Martin A. Riedmiller; David Silver (CoRR, 2017)

Learning human behaviors from motion capture by adversarial imitation. - Josh Merel; Yuval Tassa; Dhruva TB; Sriram Srinivasan 005; Jay Lemmon; Ziyu Wang 001; Greg Wayne; Nicolas Heess (CoRR, 2017)

Parallel Multiscale Autoregressive Density Estimation. - Scott E. Reed; Aäron van den Oord; Nal Kalchbrenner; Sergio Gomez Colmenarejo; Ziyu Wang 001; Dan Belov; Nando de Freitas (CoRR, 2017)

Learning an Embedding Space for Transferable Robot Skills. - Karol Hausman; Jost Tobias Springenberg; Ziyu Wang 001; Nicolas Heess; Martin A. Riedmiller (ICLR (Poster), 2018)

Playing hard exploration games by watching YouTube. - Yusuf Aytar; Tobias Pfaff; David Budden; Tom Le Paine; Ziyu Wang 001; Nando de Freitas (NeurIPS, 2018)

Reinforcement and Imitation Learning for Diverse Visuomotor Skills. - Yuke Zhu; Ziyu Wang 001; Josh Merel; Andrei A. Rusu; Tom Erez; Serkan Cabi; Saran Tunyasuvunakool; János Kramár; Raia Hadsell; Nando de Freitas; Nicolas Heess (Robotics: Science and Systems, 2018)

One-Shot High-Fidelity Imitation: Training Large-Scale Deep Nets with RL. - Tom Le Paine; Sergio Gomez Colmenarejo; Ziyu Wang 001; Scott E. Reed; Yusuf Aytar; Tobias Pfaff; Matthew W. Hoffman; Gabriel Barth-Maron; Serkan Cabi; David Budden; Nando de Freitas (CoRR, 2018)

Bayesian Optimization in AlphaGo. - Yutian Chen 001; Aja Huang; Ziyu Wang 001; Ioannis Antonoglou; Julian Schrittwieser; David Silver; Nando de Freitas (CoRR, 2018)

A Framework for Data-Driven Robotics. - Serkan Cabi; Sergio Gómez Colmenarejo; Alexander Novikov 001; Ksenia Konyushkova; Scott E. Reed; Rae Jeong; Konrad Zolna; Yusuf Aytar; David Budden; Mel Vecerík; Oleg Sushkov; David Barker; et al. (CoRR, 2019)

Grandmaster level in StarCraft II using multi-agent reinforcement learning. - 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; et al. (Nat., 2019)

Task-Relevant Adversarial Imitation Learning. - Konrad Zolna; Scott E. Reed; Alexander Novikov 001; Sergio Gómez Colmenarejo; David Budden; Serkan Cabi; Misha Denil; Nando de Freitas; Ziyu Wang 001 (CoRL, 2020)

Making Efficient Use of Demonstrations to Solve Hard Exploration Problems. - Çaglar Gülçehre; Tom Le Paine; Bobak Shahriari; Misha Denil; Matt Hoffman 001; Hubert Soyer; Richard Tanburn; Steven Kapturowski; Neil C. Rabinowitz; Duncan Williams; Gabriel Barth-Maron; Ziyu Wang 001; et al. (ICLR, 2020)

Critic Regularized Regression. - Ziyu Wang 001; Alexander Novikov 001; Konrad Zolna; Josh Merel; Jost Tobias Springenberg; Scott E. Reed; Bobak Shahriari; Noah Y. Siegel; Çaglar Gülçehre; Nicolas Heess; Nando de Freitas (NeurIPS, 2020)

RL Unplugged: A Collection of Benchmarks for Offline Reinforcement Learning. - Çaglar Gülçehre; Ziyu Wang 001; Alexander Novikov 001; Thomas Paine; Sergio Gómez Colmenarejo; Konrad Zolna; Rishabh Agarwal; Josh Merel; Daniel J. Mankowitz; Cosmin Paduraru; Gabriel Dulac-Arnold; Jerry Li; et al. (NeurIPS, 2020)

Scaling data-driven robotics with reward sketching and batch reinforcement learning. - Serkan Cabi; Sergio Gómez Colmenarejo; Alexander Novikov 001; Ksenia Konyushkova; Scott E. Reed; Rae Jeong; Konrad Zolna; Yusuf Aytar; David Budden; Mel Vecerík; Oleg Sushkov; David Barker; et al. (Robotics: Science and Systems, 2020)

Acme: A Research Framework for Distributed Reinforcement Learning. - Matt Hoffman 001; 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 001; et al. (CoRR, 2020)

RL Unplugged: Benchmarks for Offline Reinforcement Learning. - Çaglar Gülçehre; Ziyu Wang 001; Alexander Novikov 001; Tom Le Paine; Sergio Gómez Colmenarejo; Konrad Zolna; Rishabh Agarwal; Josh Merel; Daniel J. Mankowitz; Cosmin Paduraru; Gabriel Dulac-Arnold; Jerry Li; et al. (CoRR, 2020)

Hyperparameter Selection for Offline Reinforcement Learning. - Tom Le Paine; Cosmin Paduraru; Andrea Michi; Çaglar Gülçehre; Konrad Zolna; Alexander Novikov 001; Ziyu Wang 001; Nando de Freitas (CoRR, 2020)

Offline Learning from Demonstrations and Unlabeled Experience. - Konrad Zolna; Alexander Novikov 001; Ksenia Konyushkova; Çaglar Gülçehre; Ziyu Wang 001; Yusuf Aytar; Misha Denil; Nando de Freitas; Scott E. Reed (CoRR, 2020)

Benchmarks for Deep Off-Policy Evaluation. - Justin Fu; Mohammad Norouzi 002; Ofir Nachum; George Tucker; Ziyu Wang 001; Alexander Novikov 001; Mengjiao Yang 001; Michael R. Zhang; Yutian Chen 001; Aviral Kumar; Cosmin Paduraru; Sergey Levine; et al. (ICLR, 2021)

Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization. - Michael R. Zhang; Thomas Paine; Ofir Nachum; Cosmin Paduraru; George Tucker; Ziyu Wang 001; Mohammad Norouzi 002 (ICLR, 2021)

Regularized Behavior Value Estimation. - Çaglar Gülçehre; Sergio Gómez Colmenarejo; Ziyu Wang 001; Jakub Sygnowski; Thomas Paine; Konrad Zolna; Yutian Chen 001; Matthew W. Hoffman; Razvan Pascanu; Nando de Freitas (CoRR, 2021)

Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization. - Michael R. Zhang; Tom Le Paine; Ofir Nachum; Cosmin Paduraru; George Tucker; Ziyu Wang 001; Mohammad Norouzi 002 (CoRR, 2021)