Sotabase

Career

· Postdoctoral Researcher, Berkeley Artificial Intelligence Research (BAIR)2019–2021
· Core Academic Member, Mila - Quebec Artificial Intelligence Institute2019–
· Assistant Professor, Université de Montréal2019–
· Doctor of Philosophy (Ph.D.) in Computer Science, The University of British Columbia2014–2019
· MS in Computer Science, York University2012–2014
· BSc with Honours in Computer Science, York University2008–2012
· PhD in Computer Science, University of British Columbia
· Postdoctoral Researcher, University of California, Berkeley
· Bachelor's degree, York University
· MS in Computer Science, York University

Publications (48)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset
Robotics: Science and Systems · 2024
512
cited
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration
IEEE International Conference on Robotics and Automation · 2024
282
cited
Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots
IEEE International Conference on Robotics and Automation · 2021
268
cited
Reinforcement learning for versatile, dynamic, and robust bipedal locomotion control
Int. J. Robotics Res. · 2024
161
cited
Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot
IEEE/RJS International Conference on Intelligent RObots and Systems · 2022
83
cited
Contextual Imagined Goals for Self-Supervised Robotic Learning
Conference on Robot Learning · 2019
74
cited
Robust and Versatile Bipedal Jumping Control through Reinforcement Learning
Robotics: Science and Systems · 2023
68
cited
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation
Conference on Robot Learning · 2021
67
cited
Robust and Versatile Bipedal Jumping Control through Multi-Task Reinforcement Learning
arXiv.org · 2023
44
cited
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments
International Conference on Learning Representations · 2021
42
cited
Reasoning with Latent Diffusion in Offline Reinforcement Learning
International Conference on Learning Representations · 2023
35
cited
Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View
International Conference on Learning Representations · 2024
26
cited
Ecological Reinforcement Learning
arXiv.org · 2020
24
cited
SMiRL: Surprise Minimizing RL in Dynamic Environments
arXiv.org · 2019
22
cited
ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning
IEEE International Conference on Robotics and Automation · 2022
19
cited
RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies
arXiv.org · 2025
18
cited
CoMPS: Continual Meta Policy Search
International Conference on Learning Representations · 2021
17
cited
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies
IEEE International Conference on Robotics and Automation · 2021
15
cited
Information is Power: Intrinsic Control via Information Capture
Neural Information Processing Systems · 2021
10
cited
X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback
International Conference on Learning Representations · 2022
10
cited
Sotabase
Glen Berseth | Researcher Profile | Sotabase | Sotabase