Glen Berseth - RankMe

120 papers A* 23A 4C 8Misc 2Journal 75Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Align and Filter: Improving Performance in Asynchronous On-Policy RL. CoRR Homayoun Honari, Roger Creus Castanyer, Michael Przystupa, Michael Noukhovitch, Pablo Samuel Castro, Glen Berseth
2026	J	`jnl`	Generalization in Online Reinforcement Learning for Mobile Agents. CoRR Li Gu, Zihuan Jiang, Zhixiang Chi, Huan Liu, Ziqiang Wang, Yuanhao Yu, Glen Berseth, Yang Wang
2026	J	`jnl`	M^4olGen: Multi-Agent, Multi-Stage Molecular Generation under Precise Multi-Property Constraints. CoRR Yizhan Li, Florence Cloutier, Sifan Wu, Ali Parviz, Boris Knyazev, Yan Zhang, Glen Berseth, Bang Liu
2026	J	`jnl`	SLowRL: Safe Low-Rank Adaptation Reinforcement Learning for Locomotion. CoRR Elham Daneshmand, Shafeef Omar, Glen Berseth, Majid Khadiv, Hsiu-Chin Lin
2026	J	`jnl`	Temporal Representations for Exploration: Learning Complex Exploratory Behavior without Extrinsic Rewards. CoRR Faisal Mohamed, Catherine Ji, Benjamin Eysenbach, Glen Berseth
2025	J	`jnl`	A Comedy of Estimators: On KL Regularization in RL Training of LLMs. CoRR Vedant Shah, Johan S. Obando-Ceron, Vineet Jain, Brian R. Bartoldson, Bhavya Kailkhura, Sarthak Mittal, Glen Berseth, Pablo Samuel Castro, Yoshua Bengio, Nikolay Malkin, Moksh Jain, Siddarth Venkatraman, Aaron C. Courville
2025	J	`jnl`	ARM-FM: Automated Reward Machines via Foundation Models for Compositional Reinforcement Learning. CoRR Roger Creus Castanyer, Faisal Mohamed, Pablo Samuel Castro, Cyrus Neary, Glen Berseth
2025	J	`jnl`	Adaptive Resolution Residual Networks - Generalizing Across Resolutions Easily and Efficiently. Trans. Mach. Learn. Res. Léa Demeule, Mahtab Sandhu, Glen Berseth
2025	J	`jnl`	Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems. CoRR 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 T. 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
2025	J	`jnl`	Efficient Morphology-Aware Policy Transfer to New Embodiments. CoRR Michael Przystupa, Hongyao Tang, Martin Jägersand, Santiago Miret, Mariano Phielipp, Matthew E. Taylor, Glen Berseth
2025	A*	`conf`	Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference. ICLR Matthew Riemer, Gopeshh Subbaraj, Glen Berseth, Irina Rish
2025	J	`jnl`	Improving Pre-Trained Vision-Language-Action Policies with Model-Based Search. CoRR Cyrus Neary, Omar G. Younis, Artur Kuramshin, Ozgur Aslan, Glen Berseth
2025	J	`jnl`	Is Exploration or Optimization the Problem for Deep Reinforcement Learning? CoRR Glen Berseth
2025	A*	`conf`	Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn. ICML Hongyao Tang, Johan S. Obando-Ceron, Pablo Samuel Castro, Aaron C. Courville, Glen Berseth
2025	J	`jnl`	Mitigating Plasticity Loss in Continual Reinforcement Learning by Reducing Churn. CoRR Hongyao Tang, Johan S. Obando-Ceron, Pablo Samuel Castro, Aaron C. Courville, Glen Berseth
2025	A*	`conf`	Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching. ICLR Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother, Irina Rish, Glen Berseth, Sanjiban Choudhury
2025	A*	`conf`	Outsourced Diffusion Sampling: Efficient Posterior Inference in Latent Spaces of Generative Models. ICML Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin
2025	J	`jnl`	Outsourced diffusion sampling: Efficient posterior inference in latent spaces of generative models. CoRR Siddarth Venkatraman, Mohsin Hasan, Minsu Kim, Luca Scimeca, Marcin Sendera, Yoshua Bengio, Glen Berseth, Nikolay Malkin
2025	J	`jnl`	RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning. Trans. Mach. Learn. Res. Mingqi Yuan, Roger Creus Castanyer, Bo Li, Xin Jin, Wenjun Zeng, Glen Berseth
2025	J	`jnl`	Recursive Self-Aggregation Unlocks Deep Thinking in Large Language Models. CoRR Siddarth Venkatraman, Vineet Jain, Sarthak Mittal, Vedant Shah, Johan S. Obando-Ceron, Yoshua Bengio, Brian R. Bartoldson, Bhavya Kailkhura, Guillaume Lajoie, Glen Berseth, Nikolay Malkin, Moksh Jain
2025	J	`jnl`	Reinforcement learning for versatile, dynamic, and robust bipedal locomotion control. Int. J. Robotics Res. Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
2025	J	`jnl`	RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies. CoRR 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
2025	J	`jnl`	SegDAC: Segmentation-Driven Actor-Critic for Visual Reinforcement Learning. CoRR Alexandre Brown, Glen Berseth
2025	J	`jnl`	Self-Predictive Representations for Combinatorial Generalization in Behavioral Cloning. CoRR Daniel Lawson, Adriana Hugessen, Charlotte Cloutier, Glen Berseth, Khimya Khetarpal
2025	J	`jnl`	Solving Bayesian inverse problems with diffusion priors and off-policy RL. CoRR 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
2025	J	`jnl`	Stable Gradients for Stable Learning at Scale in Deep Reinforcement Learning. CoRR Roger Creus Castanyer, Johan S. Obando-Ceron, Lu Li, Pierre-Luc Bacon, Glen Berseth, Aaron C. Courville, Pablo Samuel Castro
2025	A*	`conf`	Towards Improving Exploration through Sibling Augmented GFlowNets. ICLR Kanika Madan, Alex Lamb, Emmanuel Bengio, Glen Berseth, Yoshua Bengio
2024	J	`jnl`	Adaptive Resolution Residual Networks - Generalizing Across Resolutions Easily and Efficiently. CoRR Léa Demeule, Mahtab Sandhu, Glen Berseth
2024	A*	`conf`	Amortizing intractable inference in diffusion models for vision, language, and control. NeurIPS 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
2024	J	`jnl`	Amortizing intractable inference in diffusion models for vision, language, and control. CoRR 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
2024	A*	`conf`	Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. ICLR Raj Ghugare, Matthieu Geist, Glen Berseth, Benjamin Eysenbach
2024	J	`jnl`	Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. CoRR Raj Ghugare, Matthieu Geist, Glen Berseth, Benjamin Eysenbach
2024	—	`conf`	DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. Robotics: Science and Systems 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
2024	J	`jnl`	Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference. CoRR Matthew Riemer, Gopeshh Subbaraj, Glen Berseth, Irina Rish
2024	—	`conf`	Enhancing Agent Learning through World Dynamics Modeling. EMNLP (Findings) Zhiyuan Sun, Haochen Shi, Marc-Alexandre Côté, Glen Berseth, Xingdi Yuan, Bang Liu
2024	J	`jnl`	Enhancing Agent Learning through World Dynamics Modeling. CoRR Zhiyuan Sun, Haochen Shi, Marc-Alexandre Côté, Glen Berseth, Xingdi Yuan, Bang Liu
2024	A*	`conf`	Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn. NeurIPS Hongyao Tang, Glen Berseth
2024	J	`jnl`	Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn. CoRR Hongyao Tang, Glen Berseth
2024	A*	`conf`	Improving Intrinsic Exploration by Creating Stationary Objectives. ICLR Roger Creus Castanyer, Joshua Romoff, Glen Berseth
2024	A*	`conf`	Intelligent Switching for Reset-Free RL. ICLR Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar
2024	J	`jnl`	Intelligent Switching for Reset-Free RL. CoRR Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar
2024	J	`jnl`	Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching. CoRR Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother, Irina Rish, Glen Berseth, Sanjiban Choudhury
2024	A*	`conf`	Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 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 T. 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-Gomez, 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
2024	J	`jnl`	RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning. CoRR Mingqi Yuan, Roger Creus Castanyer, Bo Li, Xin Jin, Glen Berseth, Wenjun Zeng
2024	A*	`conf`	Reasoning with Latent Diffusion in Offline Reinforcement Learning. ICLR Siddarth Venkatraman, Shivesh Khaitan, Ravi Tej Akella, John M. Dolan, Jeff Schneider, Glen Berseth
2024	J	`jnl`	Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control. CoRR Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
2024	A*	`conf`	Searching for High-Value Molecules Using Reinforcement Learning and Transformers. ICLR Raj Ghugare, Santiago Miret, Adriana Hugessen, Mariano Phielipp, Glen Berseth
2024	A*	`conf`	Simplifying Constraint Inference with Inverse Reinforcement Learning. NeurIPS Adriana Hugessen, Harley Wiltzer, Glen Berseth
2024	J	`jnl`	Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement Learning. RLJ Adriana Hugessen, Roger Creus Castanyer, Faisal Mohamed, Glen Berseth
2024	J	`jnl`	Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement Learning. CoRR Adriana Hugessen, Roger Creus Castanyer, Faisal Mohamed, Glen Berseth
2023	A	`conf`	Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning. IROS Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine
2023	J	`jnl`	Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning. CoRR Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine
2023	J	`jnl`	Heterogeneous Crowd Simulation Using Parametric Reinforcement Learning. IEEE Trans. Vis. Comput. Graph. Kaidong Hu, M. Brandon Haworth, Glen Berseth, Vladimir Pavlovic, Petros Faloutsos, Mubbasir Kapadia
2023	J	`jnl`	Improving Intrinsic Exploration by Creating Stationary Objectives. CoRR Roger Creus Castanyer, Joshua Romoff, Glen Berseth
2023	A*	`conf`	Maximum State Entropy Exploration using Predecessor and Successor Representations. NeurIPS Arnav Kumar Jain, Lucas Lehnert, Irina Rish, Glen Berseth
2023	J	`jnl`	Maximum State Entropy Exploration using Predecessor and Successor Representations. CoRR Arnav Kumar Jain, Lucas Lehnert, Irina Rish, Glen Berseth
2023	J	`jnl`	Reasoning with Latent Diffusion in Offline Reinforcement Learning. CoRR Siddarth Venkatraman, Shivesh Khaitan, Ravi Tej Akella, John M. Dolan, Jeff G. Schneider, Glen Berseth
2023	J	`jnl`	Robust and Versatile Bipedal Jumping Control through Multi-Task Reinforcement Learning. CoRR Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
2023	—	`conf`	Robust and Versatile Bipedal Jumping Control through Reinforcement Learning. Robotics: Science and Systems Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
2023	J	`jnl`	Searching for High-Value Molecules Using Reinforcement Learning and Transformers. CoRR Raj Ghugare, Santiago Miret, Adriana Hugessen, Mariano Phielipp, Glen Berseth
2023	J	`jnl`	Torque-Based Deep Reinforcement Learning for Task-and-Robot Agnostic Learning on Bipedal Robots Using Sim-to-Real Transfer. IEEE Robotics Autom. Lett. Donghyeon Kim, Glen Berseth, Mathew Schwartz, Jaeheung Park
2023	J	`jnl`	Torque-based Deep Reinforcement Learning for Task-and-Robot Agnostic Learning on Bipedal Robots Using Sim-to-Real Transfer. CoRR Donghyeon Kim, Glen Berseth, Mathew Schwartz, Jaeheung Park
2023	J	`jnl`	Towards Learning to Imitate from a Single Video Demonstration. J. Mach. Learn. Res. Glen Berseth, Florian Golemo, Christopher Pal
2022	A*	`conf`	ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning. ICRA Sean Chen, Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine
2022	J	`jnl`	ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning. CoRR Sean Chen, Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine
2022	A*	`conf`	AnyMorph: Learning Transferable Polices By Inferring Agent Morphology. ICML Brandon Trabucco, Mariano Phielipp, Glen Berseth
2022	J	`jnl`	AnyMorph: Learning Transferable Polices By Inferring Agent Morphology. CoRR Brandon Trabucco, Mariano Phielipp, Glen Berseth
2022	A*	`conf`	CoMPS: Continual Meta Policy Search. ICLR Glen Berseth, Zhiwei Zhang, Grace Zhang, Chelsea Finn, Sergey Levine
2022	A	`conf`	Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot. IROS Yandong Ji, Zhongyu Li, Yinan Sun, Xue Bin Peng, Sergey Levine, Glen Berseth, Koushil Sreenath
2022	J	`jnl`	Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot. CoRR Yandong Ji, Zhongyu Li, Yinan Sun, Xue Bin Peng, Sergey Levine, Glen Berseth, Koushil Sreenath
2022	J	`jnl`	X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback. CoRR Jensen Gao, Siddharth Reddy, Glen Berseth, Nicholas Hardy, Nikhilesh Natraj, Karunesh Ganguly, Anca D. Dragan, Sergey Levine
2021	—	`ch.`	Chapter 9 Towards Democratizing Human-Building Simulation and Analytics. Resilience in the Digital Age Muhammad Usman, M. Brandon Haworth, Glen Berseth, Petros Faloutsos, Mubbasir Kapadia
2021	J	`jnl`	CoMPS: Continual Meta Policy Search. CoRR Glen Berseth, Zhiwei Zhang, Grace Zhang, Chelsea Finn, Sergey Levine
2021	A*	`conf`	DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies. ICRA Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine
2021	J	`jnl`	DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies. CoRR Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine
2021	J	`jnl`	Explore and Control with Adversarial Surprise. CoRR Arnaud Fickinger, Natasha Jaques, Samyak Parajuli, Michael Chang, Nicholas Rhinehart, Glen Berseth, Stuart Russell, Sergey Levine
2021	Misc	`conf`	Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation. CoRL Charles Sun, Jedrzej Orbik, Coline Manon Devin, Brian H. Yang, Abhishek Gupta, Glen Berseth, Sergey Levine
2021	J	`jnl`	Gamification of Crowd-Driven Environment Design. IEEE Computer Graphics and Applications M. Brandon Haworth, Muhammad Usman, Davide Schaumann, Nilay Chakraborty, Glen Berseth, Petros Faloutsos, Mubbasir Kapadia
2021	A*	`conf`	Information is Power: Intrinsic Control via Information Capture. NeurIPS Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D. Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine
2021	J	`jnl`	Information is Power: Intrinsic Control via Information Capture. CoRR Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D. Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine
2021	J	`jnl`	Interactive Architectural Design with Diverse Solution Exploration. IEEE Trans. Vis. Comput. Graph. Glen Berseth, M. Brandon Haworth, Muhammad Usman, Davide Schaumann, Mahyar Khayatkhoei, Mubbasir Kapadia, Petros Faloutsos
2021	J	`jnl`	ReLMM: Practical RL for Learning Mobile Manipulation Skills Using Only Onboard Sensors. CoRR Charles Sun, Jedrzej Orbik, Coline Devin, Brian H. Yang, Abhishek Gupta, Glen Berseth, Sergey Levine
2021	A*	`conf`	Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots. ICRA Zhongyu Li, Xuxin Cheng, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
2021	J	`jnl`	Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots. CoRR Zhongyu Li, Xuxin Cheng, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath
2021	A*	`conf`	SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments. ICLR Glen Berseth, Daniel Geng, Coline Manon Devin, Nicholas Rhinehart, Chelsea Finn, Dinesh Jayaraman, Sergey Levine
2021	A*	`conf`	X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback. ICLR Jensen Gao, Siddharth Reddy, Glen Berseth, Nicholas Hardy, Nikhilesh Natraj, Karunesh Ganguly, Anca D. Dragan, Sergey Levine
2020	C	`conf`	Deep Integration of Physical Humanoid Control and Crowd Navigation. MIG M. Brandon Haworth, Glen Berseth, Seonghyeon Moon, Petros Faloutsos, Mubbasir Kapadia
2020	J	`jnl`	Ecological Reinforcement Learning. CoRR John D. Co-Reyes, Suvansh Sanjeev, Glen Berseth, Abhishek Gupta, Sergey Levine
2020	J	`jnl`	Morphology-Agnostic Visual Robotic Control. IEEE Robotics Autom. Lett. Brian H. Yang, Dinesh Jayaraman, Glen Berseth, Alexei A. Efros, Sergey Levine
2019	Misc	`conf`	Contextual Imagined Goals for Self-Supervised Robotic Learning. CoRL Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine
2019	J	`jnl`	Contextual Imagined Goals for Self-Supervised Robotic Learning. CoRR Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine
2019	J	`jnl`	Morphology-Agnostic Visual Robotic Control. CoRR Brian H. Yang, Dinesh Jayaraman, Glen Berseth, Alexei A. Efros, Sergey Levine
2019	J	`jnl`	SMiRL: Surprise Minimizing RL in Dynamic Environments. CoRR Glen Berseth, Daniel Geng, Coline Devin, Chelsea Finn, Dinesh Jayaraman, Sergey Levine
2019	J	`jnl`	Visual Imitation Learning with Recurrent Siamese Networks. CoRR Glen Berseth, Christopher J. Pal
2018	A	`conf`	Feedback Control For Cassie With Deep Reinforcement Learning. IROS Zhaoming Xie, Glen Berseth, Patrick Clary, Jonathan W. Hurst, Michiel van de Panne
2018	J	`jnl`	Feedback Control For Cassie With Deep Reinforcement Learning. CoRR Zhaoming Xie, Glen Berseth, Patrick Clary, Jonathan W. Hurst, Michiel van de Panne
2018	J	`jnl`	Interactive Diversity Optimization of Environments. CoRR Glen Berseth, Mahyar Khayatkhoei, M. Brandon Haworth, Muhammad Usman, Mubbasir Kapadia, Petros Faloutsos
2018	C	`conf`	Interactive spatial analytics for human-aware building design. MIG Muhammad Usman, Davide Schaumann, M. Brandon Haworth, Glen Berseth, Mubbasir Kapadia, Petros Faloutsos
2018	A	`conf`	Model-Based Action Exploration for Learning Dynamic Motion Skills. IROS Glen Berseth, Alex Kyriazis, Ivan Zinin, William Choi, Michiel van de Panne
2018	J	`jnl`	Model-Based Action Exploration. CoRR Glen Berseth, Michiel van de Panne
2018	—	`conf`	Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control. ICLR (Poster) Glen Berseth, Cheng Xie, Paul Cernek, Michiel van de Panne
2018	J	`jnl`	Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control. CoRR Glen Berseth, Cheng Xie, Paul Cernek, Michiel van de Panne
2018	J	`jnl`	Terrain RL Simulator. CoRR Glen Berseth, Xue Bin Peng, Michiel van de Panne
2017	J	`jnl`	CODE: Crowd-optimized design of environments. Comput. Animat. Virtual Worlds M. Brandon Haworth, Muhammad Usman, Glen Berseth, Mahyar Khayatkhoei, Mubbasir Kapadia, Petros Faloutsos
2017	C	`conf`	Crowd sourced co-design of floor plans using simulation guided games. MIG Nilay Chakraborty, Glen Berseth, M. Brandon Haworth, Petros Faloutsos, Muhammad Usman, Mubbasir Kapadia
2017	J	`jnl`	DeepLoco: dynamic locomotion skills using hierarchical deep reinforcement learning. ACM Trans. Graph. Xue Bin Peng, Glen Berseth, KangKang Yin, Michiel van de Panne
2017	J	`jnl`	Evaluating and Optimizing Evacuation Plans for Crowd Egress. IEEE Computer Graphics and Applications Vinícius J. Cassol, Estevao Smania Testa, Cláudio Rosito Jung, Muhammad Usman, Petros Faloutsos, Glen Berseth, Mubbasir Kapadia, Norman I. Badler, Soraia Raupp Musse
2017	J	`jnl`	On density-flow relationships during crowd evacuation. Comput. Animat. Virtual Worlds M. Brandon Haworth, Muhammad Usman, Glen Berseth, Mubbasir Kapadia, Petros Faloutsos
2017	C	`conf`	Perceptual evaluation of space in virtual environments. MIG Muhammad Usman, M. Brandon Haworth, Glen Berseth, Mubbasir Kapadia, Petros Faloutsos
2017	—	`conf`	Understanding spatial perception and visual modes in the review of architectural designs. Symposium on Computer Animation Muhammad Usman, M. Brandon Haworth, Glen Berseth, Mubbasir Kapadia, Petros Faloutsos
2016	J	`jnl`	ACCLMesh: curvature-based navigation mesh generation. Comput. Animat. Virtual Worlds Glen Berseth, Mubbasir Kapadia, Petros Faloutsos
2016	J	`jnl`	Terrain-adaptive locomotion skills using deep reinforcement learning. ACM Trans. Graph. Xue Bin Peng, Glen Berseth, Michiel van de Panne
2016	—	`conf`	Towards Computer Assisted Crowd Aware Architectural Design. CHI Extended Abstracts M. Brandon Haworth, Muhammad Usman, Glen Berseth, Mahyar Khayatkhoei, Mubbasir Kapadia, Petros Faloutsos
2015	C	`conf`	ACCLMesh: curvature-based navigation mesh generation. MIG Glen Berseth, Mubbasir Kapadia, Petros Faloutsos
2015	J	`jnl`	Dynamic terrain traversal skills using reinforcement learning. ACM Trans. Graph. Xue Bin Peng, Glen Berseth, Michiel van de Panne
2015	J	`jnl`	Environment optimization for crowd evacuation. Comput. Animat. Virtual Worlds Glen Berseth, Muhammad Usman, M. Brandon Haworth, Mubbasir Kapadia, Petros Faloutsos
2015	C	`conf`	Evaluating and optimizing level of service for crowd evacuations. MIG M. Brandon Haworth, Muhammad Usman, Glen Berseth, Mubbasir Kapadia, Petros Faloutsos
2014	C	`conf`	Characterizing and optimizing game level difficulty. MIG Glen Berseth, M. Brandon Haworth, Mubbasir Kapadia, Petros Faloutsos
2014	—	`conf`	SteerFit: Automated Parameter Fitting for Steering Algorithms. Symposium on Computer Animation Glen Berseth, Mubbasir Kapadia, M. Brandon Haworth, Petros Faloutsos
2013	C	`conf`	SteerPlex: Estimating Scenario Complexity for Simulated Crowds. MIG Glen Berseth, Mubbasir Kapadia, Petros Faloutsos