Timezone: »
Fifteen-minute Competition Overview Video
Guillaume Durandau · Yuval Tassa · Vittorio Caggiano · Vikash Kumar · Seungmoon Song · Massimo Sartori ·
Author Information
Guillaume Durandau (University of Twente)
Guillaume Durandau is a postdoctoral researcher at the Department of Biomechanical Engineering, University of Twente, Enschede, the Netherlands.
Yuval Tassa (Google DeepMind)
Vittorio Caggiano (Meta AI)
Vikash Kumar (FAIR, Meta-AI)

I am currently a research scientist at Facebook AI Research (FAIR). I have also spent some time at Google-Brain, OpenAI and Berkeley Artificial Intelligence Research (BAIR) Lab. I did my PhD at CSE, University of Washington's Movement Control Lab, under the supervision of Prof. Emanuel Todorov and Prof. Sergey Levine. I am interested in the areas of Robotics, and Embodied Artificial Intelligence. My general interest lies in developing artificial agents that are cheap, portable and exhibit complex behaviors.
Seungmoon Song (Stanford University)
Massimo Sartori (University of Twente)
More from the Same Authors
-
2021 : OstrichRL: A Musculoskeletal Ostrich Simulation to Study Bio-mechanical Locomotion »
Vittorio La Barbera · Fabio Pardo · Yuval Tassa · Petar Kormushev · John Hutchinson -
2022 : Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training »
Jason Yecheng Ma · Shagun Sodhani · Dinesh Jayaraman · Osbert Bastani · Vikash Kumar · Amy Zhang -
2022 : Real World Offline Reinforcement Learning with Realistic Data Source »
Gaoyue Zhou · Liyiming Ke · Siddhartha Srinivasa · Abhinav Gupta · Aravind Rajeswaran · Vikash Kumar -
2022 : Offline Reinforcement Learning on Real Robot with Realistic Data Sources »
Gaoyue Zhou · Liyiming Ke · Siddhartha Srinivasa · Abhinav Gupta · Aravind Rajeswaran · Vikash Kumar -
2022 : Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training »
Jason Yecheng Ma · Shagun Sodhani · Dinesh Jayaraman · Osbert Bastani · Vikash Kumar · Amy Zhang -
2022 : Learning Dexterous Manipulation from Exemplar Object Trajectories and Pre-Grasps »
Sudeep Dasari · Vikash Kumar -
2022 : Offline Reinforcement Learning on Real Robot with Realistic Data Sources »
Gaoyue Zhou · Liyiming Ke · Siddhartha Srinivasa · Abhinav Gupta · Aravind Rajeswaran · Vikash Kumar -
2022 : Policy Architectures for Compositional Generalization in Control »
Allan Zhou · Vikash Kumar · Chelsea Finn · Aravind Rajeswaran -
2022 : MoDem: Accelerating Visual Model-Based Reinforcement Learning with Demonstrations »
Nicklas Hansen · Yixin Lin · Hao Su · Xiaolong Wang · Vikash Kumar · Aravind Rajeswaran -
2022 : Real World Offline Reinforcement Learning with Realistic Data Source »
Gaoyue Zhou · Liyiming Ke · Siddhartha Srinivasa · Abhinav Gupta · Aravind Rajeswaran · Vikash Kumar -
2023 Poster: RoboHive: A Unified Framework for Robot Learning »
Vikash Kumar · Rutav Shah · Gaoyue Zhou · Vincent Moens · Vittorio Caggiano · Abhishek Gupta · Aravind Rajeswaran -
2023 Competition: MyoChallenge 2023: Towards Human-Level Dexterity and Agility »
Vittorio Caggiano · · Guillaume Durandau · Seungmoon Song · Cameron Berg · Pierre Schumacher · Chun Kwang Tan · Massimo Sartori · Vikash Kumar -
2022 : Towards Universal Visual Reward and Representation via Value-Implicit Pre-Training »
Jason Yecheng Ma · Shagun Sodhani · Dinesh Jayaraman · Osbert Bastani · Vikash Kumar · Amy Zhang -
2022 : Closing remark »
Guillaume Durandau -
2022 : MyoChallenge results and future »
Vittorio Caggiano -
2022 : MyoSuite introduction »
-
2022 Competition: MyoChallenge: Learning contact-rich manipulation using a musculoskeletal hand »
Vittorio Caggiano · · Guillaume Durandau · Seungmoon Song · Yuval Tassa · Massimo Sartori · Vikash Kumar -
2022 : Intro to the workshop »
Guillaume Durandau -
2019 : Learn to Move: Walk Around »
Seungmoon Song · Łukasz Kidziński · Xue Bin Peng · Bo Zhou · Sergey Kolesnikov · Fan Wang · Dmitry Akimov · Andrey Zubkov · Hongsheng Zeng -
2016 Poster: Attend, Infer, Repeat: Fast Scene Understanding with Generative Models »
S. M. Ali Eslami · Nicolas Heess · Theophane Weber · Yuval Tassa · David Szepesvari · koray kavukcuoglu · Geoffrey E Hinton -
2015 Poster: Learning Continuous Control Policies by Stochastic Value Gradients »
Nicolas Heess · Gregory Wayne · David Silver · Timothy Lillicrap · Tom Erez · Yuval Tassa