| 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 | 483 | 2017 |
| 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 | 276 | 2016 |
| 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 | 99* | 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 | 77 | 2015 |
| 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 | 66 | 2016 |
| 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 | 56 | 2014 |
| 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 | 49 | 2020 |
| 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 | 47 | 2018 |
| 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 | 46 | 2015 |
| 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 | 39 | 2021 |
| 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 | 38 | 2017 |
| 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 | 28 | 2015 |
| 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 | 27 | 2017 |
| 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 | 20 | 2014 |
| Robust space-time footsteps for agent-based steering G Berseth, M Kapadia, P Faloutsos Computer Animation and Virtual Worlds, 2015 | 19 | 2015 |
| Ecological Reinforcement Learning JD Co-Reyes, S Sanjeev, G Berseth, A Gupta, S Levine arXiv preprint arXiv:2006.12478, 2020 | 15 | 2020 |
| 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 | 14 | 2017 |
| 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 | 13 | 2016 |
| Using synthetic crowds to inform building pillar placements B Haworth, M Usman, G Berseth, M Khayatkhoei, M Kapadia, P Faloutsos 2016 IEEE Virtual Humans and Crowds for Immersive Environments (VHCIE), 7-11, 2016 | 12 | 2016 |
Michiel van de PanneProfessor, Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
