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Glen Berseth
Glen Berseth
Assitant Professor - Université de Montréal
E-mail confirmado em umontreal.ca - Página inicial
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Deeploco: Dynamic locomotion skills using hierarchical deep reinforcement learning
XB Peng, G Berseth, KK Yin, M Van De Panne
ACM Transactions on Graphics (TOG) 36 (4), 1-13, 2017
4952017
Terrain-adaptive locomotion skills using deep reinforcement learning
XB Peng, G Berseth, M Van de Panne
ACM Transactions on Graphics (TOG) 35 (4), 1-12, 2016
2792016
Feedback control for cassie with deep reinforcement learning
Z Xie, G Berseth, P Clary, J Hurst, M van de Panne
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
105*2018
Dynamic terrain traversal skills using reinforcement learning
XB Peng, G Berseth, M Van de Panne
ACM Transactions on Graphics (TOG) 34 (4), 1-11, 2015
792015
Scenario space: characterizing coverage, quality, and failure of steering algorithms
M Kapadia, G Berseth, S Singh, G Reinman, P Faloutsos
Simulating Heterogeneous Crowds with Interactive Behaviors, 193-210, 2016
672016
Steerfit: Automated parameter fitting for steering algorithms
G Berseth, M Kapadia, B Haworth, P Faloutsos
Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation …, 2014
562014
Contextual imagined goals for self-supervised robotic learning
A Nair, S Bahl, A Khazatsky, V Pong, G Berseth, S Levine
Conference on Robot Learning, 530-539, 2020
492020
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control
G Berseth, C Xie, P Cernek, M Van de Panne
International Conference on Learning Representations (ICLR) 2018, 2018
482018
Environment optimization for crowd evacuation
G Berseth, M Usman, B Haworth, M Kapadia, P Faloutsos
Computer Animation and Virtual Worlds 26 (3-4), 377-386, 2015
482015
Reinforcement learning for robust parameterized locomotion control of bipedal robots
Z Li, X Cheng, XB Peng, P Abbeel, S Levine, G Berseth, K Sreenath
2021 IEEE International Conference on Robotics and Automation (ICRA), 2811-2817, 2021
472021
Evaluating and Optimizing Evacuation Plans for Crowd Egress
VJ Cassol, ES Testa, CR Jung, M Usman, P Faloutsos, G Berseth, ...
IEEE Computer Graphics and Applications 37 (4), 60-71, 2017
392017
SMiRL: Surprise Minimizing Reinforcement Learning in Dynamic Environments
G Berseth, D Geng, C Devin, N Rhinehart, C Finn, D Jayaraman, S Levine
International Conference on Learning Representations 2020, 2019
32*2019
Evaluating and Optimizing Level of Service for Crowd Evacuations
B Haworth, M Usman, G Berseth, M Kapadia, P Faloutsos
Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games, 91-96, 2015
282015
CODE: Crowd‐optimized design of environments
B Haworth, M Usman, G Berseth, M Khayatkhoei, M Kapadia, P Faloutsos
Computer Animation and Virtual Worlds 28 (6), e1749, 2017
272017
Characterizing and optimizing game level difficulty
G Berseth, MB Haworth, M Kapadia, P Faloutsos
Proceedings of the Seventh International Conference on Motion in Games, 153-160, 2014
202014
Robust space-time footsteps for agent-based steering
G Berseth, M Kapadia, P Faloutsos
Computer Animation and Virtual Worlds, 2015
192015
Ecological Reinforcement Learning
JD Co-Reyes, S Sanjeev, G Berseth, A Gupta, S Levine
arXiv preprint arXiv:2006.12478, 2020
172020
On density–flow relationships during crowd evacuation
B Haworth, M Usman, G Berseth, M Kapadia, P Faloutsos
Computer Animation and Virtual Worlds 28 (3-4), e1783, 2017
142017
Towards Computer Assisted Crowd Aware Architectural Design
B Haworth, M Usman, G Berseth, M Khayatkhoei, M Kapadia, P Faloutsos
Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors …, 2016
132016
Deep Integration of Physical Humanoid Control and Crowd Navigation
B Haworth, G Berseth, S Moon, P Faloutsos, M Kapadia
Motion, Interaction and Games, 1-10, 2020
122020
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