Glen Berseth

According to our database, Glen Berseth authored at least 80 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Improving Pre-Trained Vision-Language-Action Policies with Model-Based Search.

Cyrus Neary, Omar G. Younis, Artur Kuramshin, Ozgur Aslan, Glen Berseth

CoRR, August, 2025

SegDAC: Segmentation-Driven Actor-Critic for Visual Reinforcement Learning.

Alexandre Brown, Glen Berseth

CoRR, August, 2025

Efficient Morphology-Aware Policy Transfer to New Embodiments.

Michael Przystupa, Hongyao Tang, Martin Jägersand, Santiago Miret, Mariano Phielipp, Matthew E. Taylor, Glen Berseth

CoRR, August, 2025

Is Exploration or Optimization the Problem for Deep Reinforcement Learning?

Glen Berseth

CoRR, August, 2025

RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies.

Pranav Atreya, Karl Pertsch, Tony Lee, Moo Jin Kim, Arhan Jain, Artur Kuramshin, Clemens Eppner, Cyrus Neary, Edward S. Hu, Fabio Ramos, Jonathan Tremblay, Kanav Arora, Kirsty Ellis, Luca Macesanu, Matthew Leonard, Meedeum Cho, Ozgur Aslan, Shivin Dass, Jie Wang, Xingfang Yuan, Xuning Yang, Abhishek Gupta, Dinesh Jayaraman, Glen Berseth, Kostas Daniilidis, Roberto Martin Martin, Youngwoon Lee, Percy Liang, Chelsea Finn, Sergey Levine

CoRR, June, 2025

Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning.

Roger Creus Castanyer, Johan S. Obando-Ceron, Lu Li, Pierre-Luc Bacon, Glen Berseth, Aaron C. Courville, Pablo Samuel Castro

CoRR, June, 2025

Self-Predictive Representations for Combinatorial Generalization in Behavioral Cloning.

Daniel Lawson, Adriana Hugessen, Charlotte Cloutier, Glen Berseth, Khimya Khetarpal

CoRR, June, 2025

Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn.

Hongyao Tang, Johan S. Obando-Ceron, Pablo Samuel Castro, Aaron C. Courville, Glen Berseth

CoRR, June, 2025

Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems.

Bang Liu, Xinfeng Li, Jiayi Zhang, Jinlin Wang, Tanjin He, Sirui Hong, Hongzhang Liu, Shaokun Zhang, Kaitao Song, Kunlun Zhu, Yuheng Cheng, Suyuchen Wang, Xiaoqiang Wang, Yuyu Luo, Haibo Jin, Peiyan Zhang, Ollie Liu, Jiaqi Chen, Huan Zhang, Zhaoyang Yu, Haochen Shi, Boyan Li, Dekun Wu, Fengwei Teng, Xiaojun Jia, Jiawei Xu, Jinyu Xiang, Yizhang Lin, Tianming Liu, Tongliang Liu, Yu Su, Huan Sun, Glen Berseth, Jianyun Nie, Ian Foster, Logan T. Ward, Qingyun Wu, Yu Gu, Mingchen Zhuge, Xiangru Tang, Haohan Wang, Jiaxuan You, Chi Wang, Jian Pei, Qiang Yang, Xiaoliang Qi, Chenglin Wu

CoRR, April, 2025

Solving Bayesian inverse problems with diffusion priors and off-policy RL.

Luca Scimeca, Siddarth Venkatraman, Moksh Jain, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yashar Hezaveh, Laurence Perreault Levasseur, Yoshua Bengio, Glen Berseth, Nikolay Malkin

CoRR, March, 2025

Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models.

Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin

CoRR, February, 2025

RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning.

Mingqi Yuan, Roger Creus Castanyer, Bo Li, Xin Jin, Wenjun Zeng, Glen Berseth

Trans. Mach. Learn. Res., 2025

Adaptive Resolution Residual Networks - Generalizing Across Resolutions Easily and Efficiently.

Léa Demeule, Mahtab Sandhu, Glen Berseth

Trans. Mach. Learn. Res., 2025

Reinforcement learning for versatile, dynamic, and robust bipedal locomotion control.

Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath

Int. J. Robotics Res., 2025

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference.

Matthew Riemer, Gopeshh Subbaraj, Glen Berseth, Irina Rish

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Towards Improving Exploration through Sibling Augmented GFlowNets.

Kanika Madan, Alex Lamb, Emmanuel Bengio, Glen Berseth, Yoshua Bengio

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching.

Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother, Irina Rish, Glen Berseth, Sanjiban Choudhury

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha, Arhan Jain, Abraham Lee, Youngwoon Lee, Marius Memmel, Sungjae Park, Ilija Radosavovic, Kaiyuan Wang, Albert Zhan, Kevin Black, Cheng Chi, Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, Jensen Gao, David Antonio Herrera, Minho Heo, Kyle Hsu, Jiaheng Hu, Donovon Jackson, Charlotte Le, Yunshuang Li, Roy Lin, Zehan Ma, Abhiram Maddukuri, Suvir Mirchandani, Daniel Morton, Tony Nguyen, Abigail O'Neill, Rosario Scalise, Derick Seale, Victor Son, Stephen Tian, Emi Tran, Andrew E. Wang, Yilin Wu, Annie Xie, Jingyun Yang, Patrick Yin, Yunchu Zhang, Osbert Bastani, Glen Berseth, Jeannette Bohg, Ken Goldberg, Abhinav Gupta, Abhishek Gupta, Dinesh Jayaraman, Joseph J. Lim, Jitendra Malik, Roberto Martín-Martín, Subramanian Ramamoorthy, Dorsa Sadigh, Shuran Song, Jiajun Wu, Michael C. Yip, Yuke Zhu, Thomas Kollar, Sergey Levine, Chelsea Finn

Proceedings of the Robotics: Science and Systems XX, 2024

Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement Learning.

Adriana Hugessen, Roger Creus Castanyer, Faisal Mohamed, Glen Berseth

RLJ, 2024

Amortizing intractable inference in diffusion models for vision, language, and control.

Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yoshua Bengio, Glen Berseth, Nikolay Malkin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn.

Hongyao Tang, Glen Berseth

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Simplifying Constraint Inference with Inverse Reinforcement Learning.

Adriana Hugessen, Harley Wiltzer, Glen Berseth

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.

Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Reasoning with Latent Diffusion in Offline Reinforcement Learning.

Siddarth Venkatraman, Shivesh Khaitan, Ravi Tej Akella, John M. Dolan, Jeff Schneider, Glen Berseth

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Intelligent Switching for Reset-Free RL.

Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Searching for High-Value Molecules Using Reinforcement Learning and Transformers.

Raj Ghugare, Santiago Miret, Adriana Hugessen, Mariano Phielipp, Glen Berseth

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View.

Raj Ghugare, Matthieu Geist, Glen Berseth, Benjamin Eysenbach

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Improving Intrinsic Exploration by Creating Stationary Objectives.

Roger Creus Castanyer, Joshua Romoff, Glen Berseth

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Enhancing Agent Learning through World Dynamics Modeling.

Zhiyuan Sun, Haochen Shi, Marc-Alexandre Côté, Glen Berseth, Xingdi Yuan, Bang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Torque-Based Deep Reinforcement Learning for Task-and-Robot Agnostic Learning on Bipedal Robots Using Sim-to-Real Transfer.

Donghyeon Kim, Glen Berseth, Mathew Schwartz, Jaeheung Park

IEEE Robotics Autom. Lett., October, 2023

Heterogeneous Crowd Simulation Using Parametric Reinforcement Learning.

Kaidong Hu, M. Brandon Haworth, Glen Berseth, Vladimir Pavlovic, Petros Faloutsos, Mubbasir Kapadia

IEEE Trans. Vis. Comput. Graph., April, 2023

Towards Learning to Imitate from a Single Video Demonstration.

Glen Berseth, Florian Golemo, Christopher Pal

J. Mach. Learn. Res., 2023

Robust and Versatile Bipedal Jumping Control through Multi-Task Reinforcement Learning.

Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath

CoRR, 2023

Robust and Versatile Bipedal Jumping Control through Reinforcement Learning.

Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Maximum State Entropy Exploration using Predecessor and Successor Representations.

Arnav Kumar Jain, Lucas Lehnert, Irina Rish, Glen Berseth

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning.

Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine

IROS, 2023

2022

Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot.

Yandong Ji, Zhongyu Li, Yinan Sun, Xue Bin Peng, Sergey Levine, Glen Berseth, Koushil Sreenath

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning.

Sean Chen, Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

AnyMorph: Learning Transferable Polices By Inferring Agent Morphology.

Brandon Trabucco, Mariano Phielipp, Glen Berseth

Proceedings of the International Conference on Machine Learning, 2022

CoMPS: Continual Meta Policy Search.

Glen Berseth, Zhiwei Zhang, Grace Zhang, Chelsea Finn, Sergey Levine

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Chapter 9 Towards Democratizing Human-Building Simulation and Analytics.

Muhammad Usman, M. Brandon Haworth, Glen Berseth, Petros Faloutsos, Mubbasir Kapadia

Proceedings of the Resilience in the Digital Age, 2021

Interactive Architectural Design with Diverse Solution Exploration.

Glen Berseth, M. Brandon Haworth, Muhammad Usman, Davide Schaumann, Mahyar Khayatkhoei, Mubbasir Kapadia, Petros Faloutsos

IEEE Trans. Vis. Comput. Graph., 2021

ReLMM: Practical RL for Learning Mobile Manipulation Skills Using Only Onboard Sensors.

Charles Sun, Jedrzej Orbik, Coline Devin, Brian H. Yang, Abhishek Gupta, Glen Berseth, Sergey Levine

CoRR, 2021

Explore and Control with Adversarial Surprise.

Arnaud Fickinger, Natasha Jaques, Samyak Parajuli, Michael Chang, Nicholas Rhinehart, Glen Berseth, Stuart Russell, Sergey Levine

CoRR, 2021

Gamification of Crowd-Driven Environment Design.

M. Brandon Haworth, Muhammad Usman, Davide Schaumann, Nilay Chakraborty, Glen Berseth, Petros Faloutsos, Mubbasir Kapadia

IEEE Computer Graphics and Applications, 2021

Information is Power: Intrinsic Control via Information Capture.

Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D. Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies.

Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots.

Zhongyu Li, Xuxin Cheng, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback.

Jensen Gao, Siddharth Reddy, Glen Berseth, Nicholas Hardy, Nikhilesh Natraj, Karunesh Ganguly, Anca D. Dragan, Sergey Levine

Proceedings of the 9th International Conference on Learning Representations, 2021

SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments.

Glen Berseth, Daniel Geng, Coline Manon Devin, Nicholas Rhinehart, Chelsea Finn, Dinesh Jayaraman, Sergey Levine

Proceedings of the 9th International Conference on Learning Representations, 2021

Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation.

Charles Sun, Jedrzej Orbik, Coline Manon Devin, Brian H. Yang, Abhishek Gupta, Glen Berseth, Sergey Levine

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Morphology-Agnostic Visual Robotic Control.

Brian H. Yang, Dinesh Jayaraman, Glen Berseth, Alexei A. Efros, Sergey Levine

IEEE Robotics Autom. Lett., 2020

Ecological Reinforcement Learning.

John D. Co-Reyes, Suvansh Sanjeev, Glen Berseth, Abhishek Gupta, Sergey Levine

CoRR, 2020

Deep Integration of Physical Humanoid Control and Crowd Navigation.

M. Brandon Haworth, Glen Berseth, Seonghyeon Moon, Petros Faloutsos, Mubbasir Kapadia

Proceedings of the MIG '20: Motion, 2020

2019

SMiRL: Surprise Minimizing RL in Dynamic Environments.

Glen Berseth, Daniel Geng, Coline Devin, Chelsea Finn, Dinesh Jayaraman, Sergey Levine

CoRR, 2019

Visual Imitation Learning with Recurrent Siamese Networks.

Glen Berseth, Christopher J. Pal

CoRR, 2019

Contextual Imagined Goals for Self-Supervised Robotic Learning.

Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Terrain RL Simulator.

Glen Berseth, Xue Bin Peng, Michiel van de Panne

CoRR, 2018

Interactive Diversity Optimization of Environments.

Glen Berseth, Mahyar Khayatkhoei, M. Brandon Haworth, Muhammad Usman, Mubbasir Kapadia, Petros Faloutsos

CoRR, 2018

Model-Based Action Exploration.

Glen Berseth, Michiel van de Panne

CoRR, 2018

Interactive spatial analytics for human-aware building design.

Muhammad Usman, Davide Schaumann, M. Brandon Haworth, Glen Berseth, Mubbasir Kapadia, Petros Faloutsos

Proceedings of the 11th Annual International Conference on Motion, Interaction, and Games, 2018

Feedback Control For Cassie With Deep Reinforcement Learning.

Zhaoming Xie, Glen Berseth, Patrick Clary, Jonathan W. Hurst, Michiel van de Panne

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Model-Based Action Exploration for Learning Dynamic Motion Skills.

Glen Berseth, Alex Kyriazis, Ivan Zinin, William Choi, Michiel van de Panne

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control.

Glen Berseth, Cheng Xie, Paul Cernek, Michiel van de Panne

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

DeepLoco: dynamic locomotion skills using hierarchical deep reinforcement learning.

Xue Bin Peng, Glen Berseth, KangKang Yin, Michiel van de Panne

ACM Trans. Graph., 2017

CODE: Crowd-optimized design of environments.

M. Brandon Haworth, Muhammad Usman, Glen Berseth, Mahyar Khayatkhoei, Mubbasir Kapadia, Petros Faloutsos

Comput. Animat. Virtual Worlds, 2017

On density-flow relationships during crowd evacuation.

M. Brandon Haworth, Muhammad Usman, Glen Berseth, Mubbasir Kapadia, Petros Faloutsos

Comput. Animat. Virtual Worlds, 2017

Evaluating and Optimizing Evacuation Plans for Crowd Egress.

Vinícius J. Cassol, Estevao Smania Testa, Cláudio Rosito Jung, Muhammad Usman, Petros Faloutsos, Glen Berseth, Mubbasir Kapadia, Norman I. Badler, Soraia Raupp Musse

IEEE Computer Graphics and Applications, 2017

Understanding spatial perception and visual modes in the review of architectural designs.

Muhammad Usman, M. Brandon Haworth, Glen Berseth, Mubbasir Kapadia, Petros Faloutsos

Proceedings of the ACM SIGGRAPH / Eurographics Symposium on Computer Animation, 2017

Crowd sourced co-design of floor plans using simulation guided games.

Nilay Chakraborty, Glen Berseth, M. Brandon Haworth, Petros Faloutsos, Muhammad Usman, Mubbasir Kapadia

Proceedings of the Tenth International Conference on Motion in Games, 2017

Perceptual evaluation of space in virtual environments.

Muhammad Usman, M. Brandon Haworth, Glen Berseth, Mubbasir Kapadia, Petros Faloutsos

Proceedings of the Tenth International Conference on Motion in Games, 2017

2016

Terrain-adaptive locomotion skills using deep reinforcement learning.

Xue Bin Peng, Glen Berseth, Michiel van de Panne

ACM Trans. Graph., 2016

ACCLMesh: curvature-based navigation mesh generation.

Glen Berseth, Mubbasir Kapadia, Petros Faloutsos

Comput. Animat. Virtual Worlds, 2016

Towards Computer Assisted Crowd Aware Architectural Design.

M. Brandon Haworth, Muhammad Usman, Glen Berseth, Mahyar Khayatkhoei, Mubbasir Kapadia, Petros Faloutsos

Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, 2016

2015

Dynamic terrain traversal skills using reinforcement learning.

Xue Bin Peng, Glen Berseth, Michiel van de Panne

ACM Trans. Graph., 2015

Environment optimization for crowd evacuation.

Glen Berseth, Muhammad Usman, M. Brandon Haworth, Mubbasir Kapadia, Petros Faloutsos

Comput. Animat. Virtual Worlds, 2015

Evaluating and optimizing level of service for crowd evacuations.

M. Brandon Haworth, Muhammad Usman, Glen Berseth, Mubbasir Kapadia, Petros Faloutsos

Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games, 2015

2014

SteerFit: Automated Parameter Fitting for Steering Algorithms.

Glen Berseth, Mubbasir Kapadia, M. Brandon Haworth, Petros Faloutsos

Proceedings of the Eurographics / ACM SIGGRAPH Symposium on Computer Animation, 2014

Characterizing and optimizing game level difficulty.

Glen Berseth, M. Brandon Haworth, Mubbasir Kapadia, Petros Faloutsos

Proceedings of the Seventh International Conference on Motion in Games, Playa Vista, CA, USA, November 06, 2014

2013

SteerPlex: Estimating Scenario Complexity for Simulated Crowds.

Glen Berseth, Mubbasir Kapadia, Petros Faloutsos

Proceedings of the Motion in Games, 2013