Mel Vecerík

According to our database, Mel Vecerík authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RoboTAP: Tracking Arbitrary Points for Few-Shot Visual Imitation.

Mel Vecerík, Carl Doersch, Yi Yang, Todor Davchev, Yusuf Aytar, Guangyao Zhou, Raia Hadsell, Lourdes Agapito, Jon Scholz

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks.

Ben Eisner, Yi Yang, Todor Davchev, Mel Vecerík, Jonathan Scholz, David Held

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement.

Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Few-Shot Keypoint Detection as Task Adaptation via Latent Embeddings.

Mel Vecerík, Jackie Kay, Raia Hadsell, Lourdes Agapito, Jon Scholz

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021

Robust Multi-Modal Policies for Industrial Assembly via Reinforcement Learning and Demonstrations: A Large-Scale Study.

Jianlan Luo, Oleg Sushkov, Rugile Pevceviciute, Wenzhao Lian, Chang Su, Mel Vecerík, Ning Ye, Stefan Schaal, Jonathan Scholz

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

2020

S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency.

Mel Vecerík, Jean-Baptiste Regli, Oleg Sushkov, David Barker, Rugile Pevceviciute, Thomas Rothörl, Christopher Schuster, Raia Hadsell, Lourdes Agapito, Jonathan Scholz

CoRR, 2020

Scaling data-driven robotics with reward sketching and batch reinforcement learning.

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

Proceedings of the Robotics: Science and Systems XVI, 2020

S3K: Self-Supervised Semantic Keypoints for Robotic Manipulation via Multi-View Consistency.

Mel Vecerík, Jean-Baptiste Regli, Oleg Sushkov, David Barker, Rugile Pevceviciute, Thomas Rothörl, Raia Hadsell, Lourdes Agapito, Jonathan Scholz

Proceedings of the 4th Conference on Robot Learning, 2020

2019

A Framework for Data-Driven Robotics.

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

CoRR, 2019

Improved Exploration through Latent Trajectory Optimization in Deep Deterministic Policy Gradient.

Kevin Sebastian Luck, Mel Vecerík, Simon Stepputtis, Heni Ben Amor, Jonathan Scholz

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

A Practical Approach to Insertion with Variable Socket Position Using Deep Reinforcement Learning.

Mel Vecerík, Oleg Sushkov, David Barker, Thomas Rothörl, Todd Hester, Jonathan Scholz

Proceedings of the International Conference on Robotics and Automation, 2019

Generative predecessor models for sample-efficient imitation learning.

Yannick Schroecker, Mel Vecerík, Jonathan Scholz

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Observe and Look Further: Achieving Consistent Performance on Atari.

Tobias Pohlen, Bilal Piot, Todd Hester, Mohammad Gheshlaghi Azar, Dan Horgan, David Budden, Gabriel Barth-Maron, Hado van Hasselt, John Quan, Mel Vecerík, Matteo Hessel, Rémi Munos, Olivier Pietquin

CoRR, 2018