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)

Adaptive Resolution Residual Networks - Generalizing Across Resolutions Easily and Efficiently - Léa Demeule; Mahtab Sandhu; Glen Berseth (Trans. Mach. Learn. Res., 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)

Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching - Arnav Kumar Jain; Harley Wiltzer; Jesse Farebrother; Irina Rish; Glen Berseth; Sanjiban Choudhury (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

Towards Improving Exploration through Sibling Augmented GFlowNets - Kanika Madan; Alex Lamb; Emmanuel Bengio; Glen Berseth; Yoshua Bengio (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference - Matthew Riemer; Gopeshh Subbaraj; Glen Berseth; Irina Rish (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 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, 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; et al. (CoRR, 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; et al. (CoRR, 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, 2025)

Self-Predictive Representations for Combinatorial Generalization in Behavioral Cloning - Daniel Lawson; Adriana Hugessen; Charlotte Cloutier; Glen Berseth; Khimya Khetarpal (CoRR, 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, 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; et al. (CoRR, 2025)

Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement Learning - Adriana Hugessen; Roger Creus Castanyer; Faisal Mohamed; Glen Berseth (RLJ, 2024)

Enhancing Agent Learning through World Dynamics Modeling - Zhiyuan Sun; Haochen Shi; Marc-Alexandre Côté; Glen Berseth; Xingdi Yuan; Bang Liu (Findings of the Association for Computational Linguistics: EMNLP 2024, Miami, Florida, USA, November 12-16, 2024, 2024)

Improving Intrinsic Exploration by Creating Stationary Objectives - Roger Creus Castanyer; Joshua Romoff; Glen Berseth (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View - Raj Ghugare; Matthieu Geist; Glen Berseth; Benjamin Eysenbach (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Searching for High-Value Molecules Using Reinforcement Learning and Transformers - Raj Ghugare; Santiago Miret; Adriana Hugessen; Mariano Phielipp; Glen Berseth (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Intelligent Switching for Reset-Free RL - Darshan Patil; Janarthanan Rajendran; Glen Berseth; Sarath Chandar (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, 2024)

Reasoning with Latent Diffusion in Offline Reinforcement Learning - Siddarth Venkatraman; Shivesh Khaitan; Ravi Tej Akella; John M. Dolan; Jeff Schneider; Glen Berseth (The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 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; et al. (IEEE International Conference on Robotics and Automation, ICRA 2024, Yokohama, Japan, May 13-17, 2024, 2024)

Simplifying Constraint Inference with Inverse Reinforcement Learning - Adriana Hugessen; Harley Wiltzer; Glen Berseth (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn - Hongyao Tang; Glen Berseth (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 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; et al. (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 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; et al. (Robotics: Science and Systems XX, Delft, The Netherlands, July 15-19, 2024, 2024)

Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View - Raj Ghugare; Matthieu Geist; Glen Berseth; Benjamin Eysenbach (CoRR, 2024)

Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control - Zhongyu Li; Xue Bin Peng; Pieter Abbeel; Sergey Levine; Glen Berseth; Koushil Sreenath (CoRR, 2024)

Intelligent Switching for Reset-Free RL - Darshan Patil; Janarthanan Rajendran; Glen Berseth; Sarath Chandar (CoRR, 2024)

Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement Learning - Adriana Hugessen; Roger Creus Castanyer; Faisal Mohamed; Glen Berseth (CoRR, 2024)

RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning - Mingqi Yuan; Roger Creus Castanyer; Bo Li; Xin Jin; Glen Berseth; Wenjun Zeng (CoRR, 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; et al. (CoRR, 2024)

Enhancing Agent Learning through World Dynamics Modeling - Zhiyuan Sun; Haochen Shi; Marc-Alexandre Côté; Glen Berseth; Xingdi Yuan; Bang Liu (CoRR, 2024)

Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn - Hongyao Tang; Glen Berseth (CoRR, 2024)

Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching - Arnav Kumar Jain; Harley Wiltzer; Jesse Farebrother; Irina Rish; Glen Berseth; Sanjiban Choudhury (CoRR, 2024)

Adaptive Resolution Residual Networks - Generalizing Across Resolutions Easily and Efficiently - Léa Demeule; Mahtab Sandhu; Glen Berseth (CoRR, 2024)

Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference - Matthew Riemer; Gopeshh Subbaraj; Glen Berseth; Irina Rish (CoRR, 2024)

Towards Learning to Imitate from a Single Video Demonstration - Glen Berseth; Florian Golemo; Christopher Pal (J. Mach. Learn. Res., 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., 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., 2023)

Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning - Jensen Gao; Siddharth Reddy; Glen Berseth; Anca D. Dragan; Sergey Levine (IROS, 2023)

Maximum State Entropy Exploration using Predecessor and Successor Representations - Arnav Kumar Jain; Lucas Lehnert; Irina Rish; Glen Berseth (Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023, 2023)

Robust and Versatile Bipedal Jumping Control through Reinforcement Learning - Zhongyu Li; Xue Bin Peng; Pieter Abbeel; Sergey Levine; Glen Berseth; Koushil Sreenath (Robotics: Science and Systems XIX, Daegu, Republic of Korea, July 10-14, 2023, 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)

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 (CoRR, 2023)

Maximum State Entropy Exploration using Predecessor and Successor Representations - Arnav Kumar Jain; Lucas Lehnert; Irina Rish; Glen Berseth (CoRR, 2023)

Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning - Jensen Gao; Siddharth Reddy; Glen Berseth; Anca D. Dragan; Sergey Levine (CoRR, 2023)

Reasoning with Latent Diffusion in Offline Reinforcement Learning - Siddarth Venkatraman; Shivesh Khaitan; Ravi Tej Akella; John M. Dolan; Jeff G. Schneider; Glen Berseth (CoRR, 2023)

Searching for High-Value Molecules Using Reinforcement Learning and Transformers - Raj Ghugare; Santiago Miret; Adriana Hugessen; Mariano Phielipp; Glen Berseth (CoRR, 2023)

Improving Intrinsic Exploration by Creating Stationary Objectives - Roger Creus Castanyer; Joshua Romoff; Glen Berseth (CoRR, 2023)

CoMPS: Continual Meta Policy Search - Glen Berseth; Zhiwei Zhang; Grace Zhang; Chelsea Finn; Sergey Levine (The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022)

AnyMorph: Learning Transferable Polices By Inferring Agent Morphology - Brandon Trabucco; Mariano Phielipp; Glen Berseth (International Conference on Machine Learning, ICML 2022, 17-23 July 2022, Baltimore, Maryland, USA, 2022)

ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning - Sean Chen; Jensen Gao; Siddharth Reddy; Glen Berseth; Anca D. Dragan; Sergey Levine (2022 International Conference on Robotics and Automation, ICRA 2022, Philadelphia, PA, USA, May 23-27, 2022, 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 (IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022, Kyoto, Japan, October 23-27, 2022, 2022)

ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning - Sean Chen; Jensen Gao; Siddharth Reddy; Glen Berseth; Anca D. Dragan; Sergey Levine (CoRR, 2022)

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 (CoRR, 2022)

AnyMorph: Learning Transferable Polices By Inferring Agent Morphology - Brandon Trabucco; Mariano Phielipp; Glen Berseth (CoRR, 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 (CoRR, 2022)

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)

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)

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 (Conference on Robot Learning, 8-11 November 2021, London, UK, 2021)

SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments - Glen Berseth; Daniel Geng; Coline Manon Devin; Nicholas Rhinehart; Chelsea Finn; Dinesh Jayaraman; Sergey Levine (9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 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 (9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021, 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 (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 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 (IEEE International Conference on Robotics and Automation, ICRA 2021, Xi'an, China, May 30 - June 5, 2021, 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 (Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual, 2021)

Chapter 9 Towards Democratizing Human-Building Simulation and Analytics - Muhammad Usman; M. Brandon Haworth; Glen Berseth; Petros Faloutsos; Mubbasir Kapadia (Resilience in the Digital Age, 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 (CoRR, 2021)

DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies - Soroush Nasiriany; Vitchyr H. Pong; Ashvin Nair; Alexander Khazatsky; 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)

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)

Information is Power: Intrinsic Control via Information Capture - Nicholas Rhinehart; Jenny Wang; Glen Berseth; John D. Co-Reyes; Danijar Hafner; Chelsea Finn; Sergey Levine (CoRR, 2021)

CoMPS: Continual Meta Policy Search - Glen Berseth; Zhiwei Zhang; Grace Zhang; Chelsea Finn; Sergey Levine (CoRR, 2021)

Morphology-Agnostic Visual Robotic Control - Brian H. Yang; Dinesh Jayaraman; Glen Berseth; Alexei A. Efros; Sergey Levine (IEEE Robotics Autom. Lett., 2020)

Deep Integration of Physical Humanoid Control and Crowd Navigation - M. Brandon Haworth; Glen Berseth; Seonghyeon Moon; Petros Faloutsos; Mubbasir Kapadia (MIG '20: Motion, Interaction and Games, Virtual Event, SC, USA, October 16-18, 2020, 2020)

Ecological Reinforcement Learning - John D. Co-Reyes; Suvansh Sanjeev; Glen Berseth; Abhishek Gupta; Sergey Levine (CoRR, 2020)

Contextual Imagined Goals for Self-Supervised Robotic Learning - Ashvin Nair; Shikhar Bahl; Alexander Khazatsky; Vitchyr Pong; Glen Berseth; Sergey Levine (3rd Annual Conference on Robot Learning, CoRL 2019, Osaka, Japan, October 30 - November 1, 2019, Proceedings, 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 (CoRR, 2019)

SMiRL: Surprise Minimizing RL in Dynamic Environments - Glen Berseth; Daniel Geng; Coline Devin; Chelsea Finn; Dinesh Jayaraman; Sergey Levine (CoRR, 2019)

Morphology-Agnostic Visual Robotic Control - Brian H. Yang; Dinesh Jayaraman; Glen Berseth; Alexei A. Efros; Sergey Levine (CoRR, 2019)

Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control - Glen Berseth; Cheng Xie; Paul Cernek; Michiel van de Panne (6th International Conference on Learning Representations, ICLR 2018, Vancouver, BC, Canada, April 30 - May 3, 2018, Conference Track Proceedings, 2018)

Feedback Control For Cassie With Deep Reinforcement Learning - Zhaoming Xie; Glen Berseth; Patrick Clary; Jonathan W. Hurst; Michiel van de Panne (2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain, October 1-5, 2018, 2018)

Model-Based Action Exploration for Learning Dynamic Motion Skills - Glen Berseth; Alex Kyriazis; Ivan Zinin; William Choi; Michiel van de Panne (2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2018, Madrid, Spain, October 1-5, 2018, 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, MIG 2018, Limassol, Cyprus, November 08-10, 2018, 2018)

Model-Based Action Exploration - Glen Berseth; 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)

Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control - Glen Berseth; Cheng Xie; Paul Cernek; Michiel van de Panne (CoRR, 2018)

Feedback Control For Cassie With Deep Reinforcement Learning - Zhaoming Xie; Glen Berseth; Patrick Clary; Jonathan W. Hurst; Michiel van de Panne (CoRR, 2018)

Terrain RL Simulator - Glen Berseth; Xue Bin Peng; Michiel van de Panne (CoRR, 2018)

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)

On density-flow relationships during crowd evacuation - M. Brandon Haworth; Muhammad Usman; Glen Berseth; Mubbasir Kapadia; Petros Faloutsos (Comput. Animat. Virtual Worlds, 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)

DeepLoco: dynamic locomotion skills using hierarchical deep reinforcement learning - Xue Bin Peng; Glen Berseth; KangKang Yin; Michiel van de Panne (ACM Trans. Graph., 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, MIG 2017, Barcelona, Spain, November 08 - 10, 2017, 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, MIG 2017, Barcelona, Spain, November 08 - 10, 2017, 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, Los Angeles, CA, USA, July 28-30, 2017, 2017)

ACCLMesh: curvature-based navigation mesh generation - Glen Berseth; Mubbasir Kapadia; Petros Faloutsos (Comput. Animat. Virtual Worlds, 2016)

Terrain-adaptive locomotion skills using deep reinforcement learning - Xue Bin Peng; Glen Berseth; Michiel van de Panne (ACM Trans. Graph., 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, San Jose, CA, USA, May 7-12, 2016, Extended Abstracts, 2016)

Environment optimization for crowd evacuation - Glen Berseth; Muhammad Usman; M. Brandon Haworth; Mubbasir Kapadia; Petros Faloutsos (Comput. Animat. Virtual Worlds, 2015)

Dynamic terrain traversal skills using reinforcement learning - Xue Bin Peng; Glen Berseth; Michiel van de Panne (ACM Trans. Graph., 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, MIG 2015, Paris, France, November 16-18, 2015, 2015)

ACCLMesh: curvature-based navigation mesh generation - Glen Berseth; Mubbasir Kapadia; Petros Faloutsos (Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games, MIG 2015, Paris, France, November 16-18, 2015, 2015)

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 - 08, 2014, 2014)

SteerFit: Automated Parameter Fitting for Steering Algorithms - Glen Berseth; Mubbasir Kapadia; M. Brandon Haworth; Petros Faloutsos (The Eurographics / ACM SIGGRAPH Symposium on Computer Animation, SCA 2014, Copenhagen, Denmark, 2014, 2014)

SteerPlex: Estimating Scenario Complexity for Simulated Crowds - Glen Berseth; Mubbasir Kapadia; Petros Faloutsos (Motion in Games, MIG '13, Dublin, Ireland, November 6-8, 2013, 2013)