Ziyu Wang
52 papers · 2012–2026 · 14 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 17 separate collaboration groups - the largest holds only 37% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Ziyu Wang?
9 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Nando de Freitas, Nando Freitas, Misha Denil
19 papers
· 2012–2021
· ICLR, NeurIPS, ICML
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Autoregressive Dynamics Models for Offline Policy Evaluation and Optimization
ICLR 2021
Benchmarks for Deep Off-Policy Evaluation
ICLR 2021
Critic Regularized Regression
NeurIPS 2020
Making Efficient Use of Demonstrations to Solve Hard Exploration Problems
ICLR 2020
RL Unplugged: A Suite of Benchmarks for Offline Reinforcement Learning
NeurIPS 2020
Scaling data-driven robotics with reward sketching and batch reinforcement learning
RSS 2020
Task-Relevant Adversarial Imitation Learning
CoRL 2020
Learning an Embedding Space for Transferable Robot Skills
ICLR 2018
Playing hard exploration games by watching YouTube
NeurIPS 2018
Reinforcement and Imitation Learning for Diverse Visuomotor Skills
RSS 2018
Parallel Multiscale Autoregressive Density Estimation
ICML 2017
Robust Imitation of Diverse Behaviors
NeurIPS 2017
The Intentional Unintentional Agent: Learning to Solve Many Continuous Control Tasks Simultaneously
CoRL 2017
Dueling Network Architectures for Deep Reinforcement Learning
ICML 2016
Deep Fried Convnets
ICCV 2015
Bayesian Multi-Scale Optimistic Optimization
AISTATS 2014
Adaptive Hamiltonian and Riemann Manifold Monte Carlo
ICML 2013
Bayesian Optimization in High Dimensions via Random Embeddings
IJCAI 2013
Adaptive MCMC with Bayesian Optimization
AISTATS 2012
8 papers whose co-authors appear nowhere else under this name
Deep Incomplete Multi-View Clustering via Hierarchical Imputation and Alignment
AAAI 2026
KoCo-Bench: Can Large Language Models Leverage Domain Knowledge in Software Development?
ACL 2026
Efficient Fine-Grained Guidance for Diffusion Model Based Symbolic Music Generation
ICML 2025
On Probabilistic Truncation in Privacy-preserving Machine Learning
AAAI 2025
Relaxed Transition Kernels can Cure Underestimation in Adversarial Offline Reinforcement Learning
ACML 2025
Synthetic Video Enhances Physical Fidelity in Video Synthesis
ICCV 2025
PROC2PDDL: Open-Domain Planning Representations from Texts
ACL 2024
Kubric: A Scalable Dataset Generator
CVPR 2022