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Glen Berseth
Glen Berseth
Assitant Professor - Université de Montréal
Verifierad e-postadress på umontreal.ca - Startsida
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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
6192017
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
3152016
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
207*2018
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
1902021
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
922015
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
802020
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
71*2016
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
672018
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
672014
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
65*2019
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
542015
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
452017
Hierarchical reinforcement learning for precise soccer shooting skills using a quadrupedal robot
Y Ji, Z Li, Y Sun, XB Peng, S Levine, G Berseth, K Sreenath
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
332022
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation
C Sun, J Orbik, CM Devin, BH Yang, A Gupta, G Berseth, S Levine
Conference on Robot Learning, 308-319, 2022
312022
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
312017
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
302015
Ecological Reinforcement Learning
JD Co-Reyes, S Sanjeev, G Berseth, A Gupta, S Levine
arXiv preprint arXiv:2006.12478, 2020
282020
Interactive architectural design with diverse solution exploration
G Berseth, B Haworth, M Usman, D Schaumann, M Khayatkhoei, ...
IEEE transactions on visualization and computer graphics 27 (1), 111-124, 2019
252019
Robust and versatile bipedal jumping control through reinforcement learning
Z Li, XB Peng, P Abbeel, S Levine, G Berseth, K Sreenath
Robotics: Science and Systems XIX, Daegu, Republic of Korea, 2023
24*2023
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
242014
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Artiklar 1–20