Saran Tunyasuvunakool

According to our database, Saran Tunyasuvunakool authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

Learning agile soccer skills for a bipedal robot with deep reinforcement learning.

Tuomas Haarnoja, Ben Moran, Guy Lever, Sandy H. Huang, Dhruva Tirumala, Jan Humplik, Markus Wulfmeier, Saran Tunyasuvunakool, Noah Y. Siegel, Roland Hafner, Michael Bloesch, Kristian Hartikainen, Arunkumar Byravan, Leonard Hasenclever, Yuval Tassa, Fereshteh Sadeghi, Nathan Batchelor, Federico Casarini, Stefano Saliceti, Charles Game, Neil Sreendra, Kushal Patel, Marlon Gwira, Andrea Huber, Nicole Hurley, Francesco Nori, Raia Hadsell, Nicolas Heess

Sci. Robotics, 2024

2022

Figure Data for the paper "From Motor Control to Team Play in Simulated Humanoid Football".

Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess

Dataset, August, 2022

From motor control to team play in simulated humanoid football.

Siqi Liu, Guy Lever, Zhe Wang, Josh Merel, S. M. Ali Eslami, Daniel Hennes, Wojciech M. Czarnecki, Yuval Tassa, Shayegan Omidshafiei, Abbas Abdolmaleki, Noah Y. Siegel, Leonard Hasenclever, Luke Marris, Saran Tunyasuvunakool, H. Francis Song, Markus Wulfmeier, Paul Muller, Tuomas Haarnoja, Brendan D. Tracey, Karl Tuyls, Thore Graepel, Nicolas Heess

Sci. Robotics, 2022

Predictive Sampling: Real-time Behaviour Synthesis with MuJoCo.

Taylor Howell, Nimrod Gileadi, Saran Tunyasuvunakool, Kevin Zakka, Tom Erez, Yuval Tassa

CoRR, 2022

Imitate and Repurpose: Learning Reusable Robot Movement Skills From Human and Animal Behaviors.

Steven Bohez, Saran Tunyasuvunakool, Philemon Brakel, Fereshteh Sadeghi, Leonard Hasenclever, Yuval Tassa, Emilio Parisotto, Jan Humplik, Tuomas Haarnoja, Roland Hafner, Markus Wulfmeier, Michael Neunert, Ben Moran, Noah Y. Siegel, Andrea Huber, Francesco Romano, Nathan Batchelor, Federico Casarini, Josh Merel, Raia Hadsell, Nicolas Heess

CoRR, 2022

2021

GRChombo: An adaptable numerical relativity code for fundamental physics.

Tomas Andrade, Llibert Salo, Josu C. Aurrekoetxea, Jamie Bamber, Katy Clough, Robin Croft, Eloy de Jong, Amelia Drew, Alejandro Duran, Pedro Ferreira, Pau Figueras, Hal Finkel, Tiago Frana, Bo-Xuan Ge, Chenxia Gu, Thomas Helfer, Juha Jäykkä, Cristian Joana, Markus Kunesch, Kacper Kornet, Eugene Lim, Francesco Muia, Zainab Nazari, Miren Radia, Justin Ripley, Paul Shellard, Ulrich Sperhake, Dina Traykova, Saran Tunyasuvunakool, Zipeng Wang, James Widdicombe, Kaze Wong

J. Open Source Softw., 2021

Towards Real Robot Learning in the Wild: A Case Study in Bipedal Locomotion.

Michael Bloesch, Jan Humplik, Viorica Patraucean, Roland Hafner, Tuomas Haarnoja, Arunkumar Byravan, Noah Yamamoto Siegel, Saran Tunyasuvunakool, Federico Casarini, Nathan Batchelor, Francesco Romano, Stefano Saliceti, Martin A. Riedmiller, S. M. Ali Eslami, Nicolas Heess

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Catch & Carry: reusable neural controllers for vision-guided whole-body tasks.

Josh Merel, Saran Tunyasuvunakool, Arun Ahuja, Yuval Tassa, Leonard Hasenclever, Vu Pham, Tom Erez, Greg Wayne, Nicolas Heess

ACM Trans. Graph., 2020

dm_control: Software and tasks for continuous control.

Saran Tunyasuvunakool, Alistair Muldal, Yotam Doron, Siqi Liu, Steven Bohez, Josh Merel, Tom Erez, Timothy P. Lillicrap, Nicolas Heess, Yuval Tassa

Softw. Impacts, 2020

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning.

Mehdi Mirza, Andrew Jaegle, Jonathan J. Hunt, Arthur Guez, Saran Tunyasuvunakool, Alistair Muldal, Théophane Weber, Péter Karkus, Sébastien Racanière, Lars Buesing, Timothy P. Lillicrap, Nicolas Heess

CoRR, 2020

Towards General and Autonomous Learning of Core Skills: A Case Study in Locomotion.

Roland Hafner, Tim Hertweck, Philipp Klöppner, Michael Bloesch, Michael Neunert, Markus Wulfmeier, Saran Tunyasuvunakool, Nicolas Heess, Martin A. Riedmiller

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Reusable neural skill embeddings for vision-guided whole body movement and object manipulation.

Josh Merel, Saran Tunyasuvunakool, Arun Ahuja, Yuval Tassa, Leonard Hasenclever, Vu Pham, Tom Erez, Greg Wayne, Nicolas Heess

CoRR, 2019

Hierarchical Visuomotor Control of Humanoids.

Josh Merel, Arun Ahuja, Vu Pham, Saran Tunyasuvunakool, Siqi Liu, Dhruva Tirumala, Nicolas Heess, Greg Wayne

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

Emergent Coordination Through Competition.

Siqi Liu, Guy Lever, Josh Merel, Saran Tunyasuvunakool, Nicolas Heess, Thore Graepel

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

2018

Reinforcement and Imitation Learning for Diverse Visuomotor Skills.

Yuke Zhu, Ziyu Wang, Josh Merel, Andrei A. Rusu, Tom Erez, Serkan Cabi, Saran Tunyasuvunakool, János Kramár, Raia Hadsell, Nando de Freitas, Nicolas Heess

Proceedings of the Robotics: Science and Systems XIV, 2018