1. Ji, Y., Li*, Z., Sun, Y., Peng, X. B., Levine, S., Berseth, G., & Sreenath, K. (2022). Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot . Proc. IEEE/RSJ Intl Conf on Intelligent Robots and Systems (IROS 2022).
  2. Trabucco, B., Mariano, P., & Berseth, G. (2022). AnyMorph: Learning Transferable Policies By Inferring Agent Morphology. Internation Conference on Machine Learning.
  3. Berseth, G., Golemo, F., & Pal, C. (2022). Towards Learning to Imitate from a Single Video Demonstration. Under Submision to Journal of Machine Learning Research. http://arxiv.org/abs/1901.07186
  4. Chen*, S., Gao*, J., Reddy, S., Berseth, G., Dragan, A. D., & Levine, S. (2022). ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning. IEEE International Conference on Robotics and Automation (ICRA).
  5. Berseth, G., Zhang, Z., Zhang, G., Finn, C., & Levine, S. (2022). CoMPS: Continual Meta Policy Search. International Conference on Learning Representations. https://openreview.net/forum?id=PVJ6j87gOHz
  6. Co-Reyes, J. D., Feng, S., \textbfGlen Berseth, Qui, J., & Levine, S. (2021). Accelerating Online Reinforcement Learning via Model-Based Meta-Learning. Learning to Learn - Workshop at ICLR 2021. https://openreview.net/forum?id=XCJ5PEkuMkC
  7. Nasiriany, S., Pong, V. H., Nair, A., Khazatsky, A., Berseth, G., & Levine, S. (2021). DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies. International Conference on Robotics and Automation (ICRA 2021).
  8. Sun, C., Devin, C., Yang, B., Orbik, J., Gupta, A., Berseth, G., & Levine, S. (2021). Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation. Conference on Robot Learning (CoRL).
  9. Rhinehart, N., Wang, J., Berseth, G., Co-Reyes, J. D., Hafner, D., Finn, C., & Levine, S. (2021). Intrinsic Control of Variational Beliefs in Dynamic Partially-Observed Visual Environments. Advances in Neural Information Processing Systems, 34.
  10. Fickinger, A., Jaques, N., Parajuli, S., Chang, M., Rhinehart, N., Berseth, G., Russell, S., & Levine, S. (2021). Explore and Control with Adversarial Surprise. CoRR, abs/2107.07394. https://arxiv.org/abs/2107.07394
  11. Berseth, G., Geng, D., Devin, C. M., Rhinehart, N., Finn, C., Jayaraman, D., & Levine, S. (2021). SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments. International Conference on Learning Representations \Textbf(Oral, Top 1.8% of Submissions). https://openreview.net/forum?id=cPZOyoDloxl
  12. Gao, J., Reddy, S., Berseth, G., Dragon, A., & Levine, S. (2020). X2T: Training an X-to-Text Typing Interface with Online Learning from Implicit Feedback. International Conference on Learning Representations (ICLR) 2021.
  13. Co-Reyes, J. D., Sanjeev, S., Berseth, G., Gupta, A., & Levine, S. (2020). Ecological Reinforcement Learning. CoRR, abs/2006.12478. https://arxiv.org/abs/2006.12478
  14. Li, Z., Cheng, X., Peng, X. B., Abbeel, P., Levine, S., Berseth, G., & Sreenath, K. (2020). Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots. International Conference on Robotics and Automation (ICRA 2021).
  15. Haworth, M. B., Usman, M., Schaumann, D., Chakraborty, N., Glen, B., Faloutsos, P., & Kapadia, M. (2020). Gamification of Crowd-Driven Environment Design. IEEE Computer Graphics and Applications.
  16. Yang, B., Jayaraman, D., Glen, B., Efros, A., & Levine, S. (2020). Morphology-Agnostic Visual Robotic Control. IEEE Robotics and Automation Letters, 5(2), 766–773.
  17. *, B. G., Haworth*, B., Kapadia, M., & Faloutsos, P. (2020). Deep Integration of Physical Humanoid Control and Crowd Navigation (\textbfbest paper runner up). Proceedings of the 13th International Conference on Motion in Games.
  18. Berseth, G., Haworth, B., Usman, M., Schaumann, D., Khayatkhoei, M., Kapadia, M., & Faloutsos, P. (2019). Interactive Architectural Design with Diverse Solution Exploration. IEEE Transactions on Visualization and Computer Graphics.
  19. Nair^*, A., Bahl^*, S., Khazatsky^*, A., Pong, V., Berseth, G., & Levine, S. (2019). Contextual Imagined Goals for Self-Supervised Robotic Learning. Conference on Robot Learning (CoRL).
  20. Berseth, G., Xie, C., Cernek, P., & de Panne, M. V. (2018). Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control. International Conference on Learning Representations (ICLR) 2018.
  21. Berseth, G., Peng, X. B., & van de Panne, M. (2018). Terrain RL Simulator. CoRR, abs/1804.06424. http://arxiv.org/abs/1804.06424
  22. Xie, Z., Berseth, G., Clary, P., Hurst, J. W., & van de Panne, M. (2018). Feedback Control For Cassie With Deep Reinforcement Learning. Proc. IEEE/RSJ Intl Conf on Intelligent Robots and Systems (IROS 2018).
  23. Berseth, G., Kyriazis, A., Zinin, I., Choi, W., & van de Panne, M. (2018). Model-Based Action Exploration for Learning Dynamic Motion Skills. Proc. IEEE/RSJ Intl Conf on Intelligent Robots and Systems (IROS 2018).
  24. Cassol, V. J., Testa, E. S., Jung, C. R., Usman, M., Faloutsos, P., Glen, B., Kapadia, M., Badler, N. I., & Musse, S. R. (2017). Evaluating and optimizing evacuation plans for crowd egress. IEEE Computer Graphics and Applications, 37(4), 60–71.
  25. Usman, M., Haworth, B., Glen, B., Kapadia, M., & Faloutsos, P. (2017). Perceptual Evaluation of Space in Virtual Environments. Proceedings of the Tenth International Conference on Motion in Games, 16:1–16:10.
  26. Chakraborty, N., Haworth, B., Usman, M., Glen, B., Faloutsos, P., & Kapadia, M. (2017). Crowd Sourced Co-design of Floor Plans Using Simulation Guided Games. Proceedings of the Tenth International Conference on Motion in Games, 1:1–1:5.
  27. Usman, M., Haworth, B., Glen, B., Kapadia, M., & Faloutsos, P. (2017). Understanding spatial perception and visual modes in the review of architectural designs. Proceedings of the ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 31.
  28. Haworth, B., Usman, M., Glen, B., Kapadia, M., & Faloutsos, P. (2017). On density flow relationships during crowd evacuation. Computer Animation and Virtual Worlds 28 (3-4).
  29. Peng, X. B., Glen, B., Yin, K. K., & van de Panne, M. (2017). DeepLoco: Dynamic Locomotion Skills Using Hierarchical Deep Reinforcement Learning. SIGGRAPH 2017.
  30. Haworth, B., Usman, M., Glen, B., Kapadia, M., & Faloutsos, P. (2017). CODE: Crowd Optimized Design of Environments. Computer Animation and Virtual Worlds.
  31. Haworth, B., Usman, M., Glen, B., Khayatkhoei, M., Kapadia, M., & Faloutsos, P. (2016). Towards Computer Assisted Crowd Aware Architectural Design. CHI ’16 Extended Abstracts, 2287–2292. https://doi.org/10.1145/2559206.2581174
  32. Peng, X. B., Glen, B., & van de Panne, M. (2016). Terrain-adaptive locomotion skills using deep reinforcement learning. ACM Transactions on Graphics (TOG), 35(4), 81.
  33. Glen, B., Kapadia, M., & Faloutsos, P. (2016). ACCLMesh: curvature-based navigation mesh generation. Computer Animation and Virtual Worlds, 27(3-4), 195–204.
  34. Haworth, B., Usman, M., Glen, B., Khayatkhoei, M., Kapadia, M., & Faloutsos, P. (2016). Using synthetic crowds to inform building pillar placements. Virtual Humans and Crowds for Immersive Environments (VHCIE), IEEE, 7–11.
  35. Glen, B., Kapadia, M., & Faloutsos, P. (2015). ACCLMesh: Curvature-based Navigation Mesh Generation. Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games, 97–102. https://doi.org/10.1145/2822013.2822043
  36. Peng, X. B., Glen, B., & van de Panne, M. (2015). Dynamic Terrain Traversal Skills Using Reinforcement Learning. ACM Trans. Graph., 34(4), 80:1–80:11. https://doi.org/10.1145/2766910
  37. Glen, B., Usman, M., Haworth, B., Kapadia, M., & Faloutsos, P. (2015). Environment optimization for crowd evacuation. Computer Animation and Virtual Worlds, 26(3-4), 377–386. https://doi.org/10.1002/cav.1652
  38. Glen, B., Kapadia, M., & Faloutsos, P. (2015). Robust Space-Time Footsteps for Agent-Based Steering (best short paper). Computer Animation and Virtual Worlds.
  39. Haworth, B., Usman, M., Glen, B., Kapadia, M., & Faloutsos, P. (2015). Evaluating and Optimizing Level of Service for Crowd Evacuations. Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games, 91–96. https://doi.org/10.1145/2822013.2822040
  40. Glen, B., Haworth, M. B., Kapadia, M., & Faloutsos, P. (2014). Characterizing and Optimizing Game Level Difficulty. Proceedings of the Seventh International Conference on Motion in Games, 153–160. https://doi.org/10.1145/2668084.2668100
  41. Berseth, G., Kapadia, M., Haworth, B., & Faloutsos, P. (2014). SteerFit: Automated Parameter Fitting for Steering Algorithms. Eurographics/ ACM SIGGRAPH Symposium on Computer Animation, 113–122. https://doi.org/10.2312/sca.20141129
  42. Glen, B., Kapadia, M., & Faloutsos, P. (2013). SteerPlex: Estimating Scenario Complexity for Simulated Crowds. Proceedings of Motion on Games, 45:67–45:76. https://doi.org/10.1145/2522628.2522650
  43. Desouza, I., & Berseth, G. (2012). York University Rover Team. The 15th Annual International Mars Society Convention.
  44. Kreidieh, A. R., Berseth, G., Parajuli, B. T. S., Levine, S., & Bayen, A. M. Inter-Level Cooperation in Hierarchical Reinforcement Learning. Under Submision to Journal of Machine Learning Research.