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2020 – today
- 2024
[j15]Adriana Hugessen, Roger Creus Castanyer, Faisal Mohamed, Glen Berseth:
Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement Learning. RLJ 2: 547-562 (2024)- [c36]Zhiyuan Sun, Haochen Shi, Marc-Alexandre Côté, Glen Berseth, Xingdi Yuan, Bang Liu:
Enhancing Agent Learning through World Dynamics Modeling. EMNLP (Findings) 2024: 3534-3568 - [c35]Roger Creus Castanyer, Joshua Romoff, Glen Berseth:
Improving Intrinsic Exploration by Creating Stationary Objectives. ICLR 2024 - [c34]Raj Ghugare, Matthieu Geist, Glen Berseth, Benjamin Eysenbach:
Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. ICLR 2024 - [c33]Raj Ghugare, Santiago Miret, Adriana Hugessen, Mariano Phielipp, Glen Berseth:
Searching for High-Value Molecules Using Reinforcement Learning and Transformers. ICLR 2024 - [c32]Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar:
Intelligent Switching for Reset-Free RL. ICLR 2024 - [c31]Siddarth Venkatraman, Shivesh Khaitan, Ravi Tej Akella, John Dolan, Jeff Schneider, Glen Berseth:
Reasoning with Latent Diffusion in Offline Reinforcement Learning. ICLR 2024 - [c30]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:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c29]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:
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. Robotics: Science and Systems 2024 - [i38]Raj Ghugare, Matthieu Geist, Glen Berseth, Benjamin Eysenbach:
Closing the Gap between TD Learning and Supervised Learning - A Generalisation Point of View. CoRR abs/2401.11237 (2024) - [i37]Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath:
Reinforcement Learning for Versatile, Dynamic, and Robust Bipedal Locomotion Control. CoRR abs/2401.16889 (2024) - [i36]Darshan Patil, Janarthanan Rajendran, Glen Berseth, Sarath Chandar:
Intelligent Switching for Reset-Free RL. CoRR abs/2405.01684 (2024) - [i35]Adriana Hugessen, Roger Creus Castanyer, Faisal Mohamed, Glen Berseth:
Surprise-Adaptive Intrinsic Motivation for Unsupervised Reinforcement Learning. CoRR abs/2405.17243 (2024) - [i34]Mingqi Yuan, Roger Creus Castanyer, Bo Li, Xin Jin, Glen Berseth, Wenjun Zeng
:
RLeXplore: Accelerating Research in Intrinsically-Motivated Reinforcement Learning. CoRR abs/2405.19548 (2024) - [i33]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:
Amortizing intractable inference in diffusion models for vision, language, and control. CoRR abs/2405.20971 (2024) - [i32]Zhiyuan Sun, Haochen Shi, Marc-Alexandre Côté, Glen Berseth, Xingdi Yuan, Bang Liu:
Enhancing Agent Learning through World Dynamics Modeling. CoRR abs/2407.17695 (2024) - [i31]Hongyao Tang, Glen Berseth:
Improving Deep Reinforcement Learning by Reducing the Chain Effect of Value and Policy Churn. CoRR abs/2409.04792 (2024) - [i30]Arnav Kumar Jain, Harley Wiltzer, Jesse Farebrother, Irina Rish, Glen Berseth, Sanjiban Choudhury:
Non-Adversarial Inverse Reinforcement Learning via Successor Feature Matching. CoRR abs/2411.07007 (2024) - [i29]Léa Demeule, Mahtab Sandhu, Glen Berseth:
Adaptive Resolution Residual Networks - Generalizing Across Resolutions Easily and Efficiently. CoRR abs/2412.06195 (2024) - [i28]Matthew Riemer, Gopeshh Subbaraj, Glen Berseth, Irina Rish:
Enabling Realtime Reinforcement Learning at Scale with Staggered Asynchronous Inference. CoRR abs/2412.14355 (2024) - 2023
- [j14]Glen Berseth, Florian Golemo, Christopher Pal:
Towards Learning to Imitate from a Single Video Demonstration. J. Mach. Learn. Res. 24: 78:1-78:26 (2023) - [j13]Donghyeon Kim, Glen Berseth, Mathew Schwartz, Jaeheung Park:
Torque-Based Deep Reinforcement Learning for Task-and-Robot Agnostic Learning on Bipedal Robots Using Sim-to-Real Transfer. IEEE Robotics Autom. Lett. 8(10): 6251-6258 (2023) - [j12]Kaidong Hu, M. Brandon Haworth, Glen Berseth, Vladimir Pavlovic, Petros Faloutsos, Mubbasir Kapadia:
Heterogeneous Crowd Simulation Using Parametric Reinforcement Learning. IEEE Trans. Vis. Comput. Graph. 29(4): 2036-2052 (2023) - [c28]Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine:
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning. IROS 2023: 7523-7530 - [c27]Arnav Kumar Jain, Lucas Lehnert, Irina Rish, Glen Berseth:
Maximum State Entropy Exploration using Predecessor and Successor Representations. NeurIPS 2023 - [c26]Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath:
Robust and Versatile Bipedal Jumping Control through Reinforcement Learning. Robotics: Science and Systems 2023 - [i27]Zhongyu Li, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath:
Robust and Versatile Bipedal Jumping Control through Multi-Task Reinforcement Learning. CoRR abs/2302.09450 (2023) - [i26]Donghyeon Kim, Glen Berseth, Mathew Schwartz, Jaeheung Park:
Torque-based Deep Reinforcement Learning for Task-and-Robot Agnostic Learning on Bipedal Robots Using Sim-to-Real Transfer. CoRR abs/2304.09434 (2023) - [i25]Arnav Kumar Jain, Lucas Lehnert, Irina Rish, Glen Berseth:
Maximum State Entropy Exploration using Predecessor and Successor Representations. CoRR abs/2306.14808 (2023) - [i24]Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine:
Bootstrapping Adaptive Human-Machine Interfaces with Offline Reinforcement Learning. CoRR abs/2309.03839 (2023) - [i23]Siddarth Venkatraman, Shivesh Khaitan, Ravi Tej Akella, John M. Dolan, Jeff G. Schneider, Glen Berseth:
Reasoning with Latent Diffusion in Offline Reinforcement Learning. CoRR abs/2309.06599 (2023) - [i22]Raj Ghugare, Santiago Miret, Adriana Hugessen, Mariano Phielipp, Glen Berseth:
Searching for High-Value Molecules Using Reinforcement Learning and Transformers. CoRR abs/2310.02902 (2023) - [i21]Roger Creus Castanyer, Joshua Romoff, Glen Berseth:
Improving Intrinsic Exploration by Creating Stationary Objectives. CoRR abs/2310.18144 (2023) - 2022
- [c25]Glen Berseth, Zhiwei Zhang, Grace Zhang, Chelsea Finn, Sergey Levine:
CoMPS: Continual Meta Policy Search. ICLR 2022 - [c24]Brandon Trabucco, Mariano Phielipp, Glen Berseth:
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology. ICML 2022: 21677-21691 - [c23]Sean Chen, Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine:
ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning. ICRA 2022: 7505-7512 - [c22]Yandong Ji, Zhongyu Li, Yinan Sun, Xue Bin Peng, Sergey Levine, Glen Berseth, Koushil Sreenath:
Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot. IROS 2022: 1479-1486 - [i20]Sean Chen, Jensen Gao, Siddharth Reddy, Glen Berseth, Anca D. Dragan, Sergey Levine:
ASHA: Assistive Teleoperation via Human-in-the-Loop Reinforcement Learning. CoRR abs/2202.02465 (2022) - [i19]Jensen Gao, Siddharth Reddy, Glen Berseth, Nicholas Hardy, Nikhilesh Natraj, Karunesh Ganguly, Anca D. Dragan, Sergey Levine:
X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback. CoRR abs/2203.02072 (2022) - [i18]Brandon Trabucco, Mariano Phielipp, Glen Berseth:
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology. CoRR abs/2206.12279 (2022) - [i17]Yandong Ji, Zhongyu Li, Yinan Sun, Xue Bin Peng, Sergey Levine, Glen Berseth, Koushil Sreenath:
Hierarchical Reinforcement Learning for Precise Soccer Shooting Skills using a Quadrupedal Robot. CoRR abs/2208.01160 (2022) - 2021
- [j11]M. Brandon Haworth, Muhammad Usman, Davide Schaumann, Nilay Chakraborty, Glen Berseth, Petros Faloutsos, Mubbasir Kapadia:
Gamification of Crowd-Driven Environment Design. IEEE Computer Graphics and Applications 41(4): 107-117 (2021) - [j10]Glen Berseth, M. Brandon Haworth, Muhammad Usman, Davide Schaumann, Mahyar Khayatkhoei, Mubbasir Kapadia, Petros Faloutsos:
Interactive Architectural Design with Diverse Solution Exploration. IEEE Trans. Vis. Comput. Graph. 27(1): 111-124 (2021) - [c21]Charles Sun, Jedrzej Orbik, Coline Manon Devin, Brian H. Yang, Abhishek Gupta, Glen Berseth, Sergey Levine:
Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation. CoRL 2021: 308-319 - [c20]Glen Berseth, Daniel Geng, Coline Manon Devin, Nicholas Rhinehart, Chelsea Finn, Dinesh Jayaraman, Sergey Levine:
SMiRL: Surprise Minimizing Reinforcement Learning in Unstable Environments. ICLR 2021 - [c19]Jensen Gao, Siddharth Reddy, Glen Berseth, Nicholas Hardy, Nikhilesh Natraj, Karunesh Ganguly, Anca D. Dragan, Sergey Levine:
X2T: Training an X-to-Text Typing Interface with Online Learning from User Feedback. ICLR 2021 - [c18]Zhongyu Li, Xuxin Cheng, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath:
Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots. ICRA 2021: 2811-2817 - [c17]Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine:
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies. ICRA 2021: 6635-6641 - [c16]Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D. Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine:
Information is Power: Intrinsic Control via Information Capture. NeurIPS 2021: 10745-10758 - [p1]Muhammad Usman, M. Brandon Haworth, Glen Berseth, Petros Faloutsos, Mubbasir Kapadia:
Chapter 9 Towards Democratizing Human-Building Simulation and Analytics. Resilience in the Digital Age 2021: 157-171 - [i16]Zhongyu Li, Xuxin Cheng, Xue Bin Peng, Pieter Abbeel, Sergey Levine, Glen Berseth, Koushil Sreenath:
Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots. CoRR abs/2103.14295 (2021) - [i15]Soroush Nasiriany, Vitchyr H. Pong, Ashvin Nair, Alexander Khazatsky, Glen Berseth, Sergey Levine:
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose Policies. CoRR abs/2104.11707 (2021) - [i14]Arnaud Fickinger, Natasha Jaques, Samyak Parajuli, Michael Chang, Nicholas Rhinehart, Glen Berseth, Stuart Russell, Sergey Levine:
Explore and Control with Adversarial Surprise. CoRR abs/2107.07394 (2021) - [i13]Charles Sun, Jedrzej Orbik, Coline Devin, Brian H. Yang, Abhishek Gupta, Glen Berseth, Sergey Levine:
ReLMM: Practical RL for Learning Mobile Manipulation Skills Using Only Onboard Sensors. CoRR abs/2107.13545 (2021) - [i12]Nicholas Rhinehart, Jenny Wang, Glen Berseth, John D. Co-Reyes, Danijar Hafner, Chelsea Finn, Sergey Levine:
Information is Power: Intrinsic Control via Information Capture. CoRR abs/2112.03899 (2021) - [i11]Glen Berseth, Zhiwei Zhang, Grace Zhang, Chelsea Finn, Sergey Levine:
CoMPS: Continual Meta Policy Search. CoRR abs/2112.04467 (2021) - 2020
- [j9]Brian H. Yang, Dinesh Jayaraman, Glen Berseth, Alexei A. Efros, Sergey Levine:
Morphology-Agnostic Visual Robotic Control. IEEE Robotics Autom. Lett. 5(2): 766-773 (2020) - [c15]M. Brandon Haworth, Glen Berseth, Seonghyeon Moon, Petros Faloutsos, Mubbasir Kapadia:
Deep Integration of Physical Humanoid Control and Crowd Navigation. MIG 2020: 15:1-15:10 - [i10]John D. Co-Reyes, Suvansh Sanjeev, Glen Berseth, Abhishek Gupta, Sergey Levine:
Ecological Reinforcement Learning. CoRR abs/2006.12478 (2020)
2010 – 2019
- 2019
- [c14]Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine:
Contextual Imagined Goals for Self-Supervised Robotic Learning. CoRL 2019: 530-539 - [i9]Glen Berseth, Christopher J. Pal:
Visual Imitation Learning with Recurrent Siamese Networks. CoRR abs/1901.07186 (2019) - [i8]Ashvin Nair, Shikhar Bahl, Alexander Khazatsky, Vitchyr Pong, Glen Berseth, Sergey Levine:
Contextual Imagined Goals for Self-Supervised Robotic Learning. CoRR abs/1910.11670 (2019) - [i7]Glen Berseth, Daniel Geng, Coline Devin, Chelsea Finn, Dinesh Jayaraman, Sergey Levine:
SMiRL: Surprise Minimizing RL in Dynamic Environments. CoRR abs/1912.05510 (2019) - [i6]Brian H. Yang, Dinesh Jayaraman, Glen Berseth, Alexei A. Efros, Sergey Levine:
Morphology-Agnostic Visual Robotic Control. CoRR abs/1912.13360 (2019) - 2018
- [c13]Glen Berseth, Cheng Xie, Paul Cernek, Michiel van de Panne:
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control. ICLR (Poster) 2018 - [c12]Zhaoming Xie, Glen Berseth, Patrick Clary, Jonathan W. Hurst, Michiel van de Panne:
Feedback Control For Cassie With Deep Reinforcement Learning. IROS 2018: 1241-1246 - [c11]Glen Berseth, Alex Kyriazis, Ivan Zinin, William Choi, Michiel van de Panne:
Model-Based Action Exploration for Learning Dynamic Motion Skills. IROS 2018: 1540-1546 - [c10]Muhammad Usman, Davide Schaumann, M. Brandon Haworth, Glen Berseth, Mubbasir Kapadia, Petros Faloutsos:
Interactive spatial analytics for human-aware building design. MIG 2018: 13:1-13:12 - [i5]Glen Berseth, Michiel van de Panne:
Model-Based Action Exploration. CoRR abs/1801.03954 (2018) - [i4]Glen Berseth, Mahyar Khayatkhoei, M. Brandon Haworth, Muhammad Usman, Mubbasir Kapadia, Petros Faloutsos:
Interactive Diversity Optimization of Environments. CoRR abs/1801.08607 (2018) - [i3]Glen Berseth, Cheng Xie, Paul Cernek, Michiel van de Panne:
Progressive Reinforcement Learning with Distillation for Multi-Skilled Motion Control. CoRR abs/1802.04765 (2018) - [i2]Zhaoming Xie, Glen Berseth, Patrick Clary, Jonathan W. Hurst, Michiel van de Panne:
Feedback Control For Cassie With Deep Reinforcement Learning. CoRR abs/1803.05580 (2018) - [i1]Glen Berseth, Xue Bin Peng, Michiel van de Panne:
Terrain RL Simulator. CoRR abs/1804.06424 (2018) - 2017
- [j8]Vinícius J. Cassol, Estevao Smania Testa, Cláudio Rosito Jung, Muhammad Usman, Petros Faloutsos, Glen Berseth, Mubbasir Kapadia, Norman I. Badler, Soraia Raupp Musse:
Evaluating and Optimizing Evacuation Plans for Crowd Egress. IEEE Computer Graphics and Applications 37(4): 60-71 (2017) - [j7]M. Brandon Haworth, Muhammad Usman, Glen Berseth, Mubbasir Kapadia, Petros Faloutsos:
On density-flow relationships during crowd evacuation. Comput. Animat. Virtual Worlds 28(3-4) (2017) - [j6]M. Brandon Haworth, Muhammad Usman, Glen Berseth, Mahyar Khayatkhoei, Mubbasir Kapadia, Petros Faloutsos:
CODE: Crowd-optimized design of environments. Comput. Animat. Virtual Worlds 28(6) (2017) - [j5]Xue Bin Peng, Glen Berseth, KangKang Yin, Michiel van de Panne:
DeepLoco: dynamic locomotion skills using hierarchical deep reinforcement learning. ACM Trans. Graph. 36(4): 41:1-41:13 (2017) - [c9]Nilay Chakraborty, Glen Berseth, M. Brandon Haworth, Petros Faloutsos, Muhammad Usman, Mubbasir Kapadia:
Crowd sourced co-design of floor plans using simulation guided games. MIG 2017: 1:1-1:5 - [c8]Muhammad Usman, M. Brandon Haworth, Glen Berseth, Mubbasir Kapadia, Petros Faloutsos:
Perceptual evaluation of space in virtual environments. MIG 2017: 16:1-16:10 - [c7]Muhammad Usman, M. Brandon Haworth, Glen Berseth, Mubbasir Kapadia, Petros Faloutsos:
Understanding spatial perception and visual modes in the review of architectural designs. Symposium on Computer Animation 2017: 31:1-31:2 - 2016
- [j4]Glen Berseth, Mubbasir Kapadia, Petros Faloutsos:
ACCLMesh: curvature-based navigation mesh generation. Comput. Animat. Virtual Worlds 27(3-4): 195-204 (2016) - [j3]Xue Bin Peng, Glen Berseth, Michiel van de Panne:
Terrain-adaptive locomotion skills using deep reinforcement learning. ACM Trans. Graph. 35(4): 81:1-81:12 (2016) - [c6]M. Brandon Haworth, Muhammad Usman, Glen Berseth, Mahyar Khayatkhoei, Mubbasir Kapadia, Petros Faloutsos:
Towards Computer Assisted Crowd Aware Architectural Design. CHI Extended Abstracts 2016: 2119-2125 - 2015
- [j2]Glen Berseth, Muhammad Usman, M. Brandon Haworth, Mubbasir Kapadia, Petros Faloutsos:
Environment optimization for crowd evacuation. Comput. Animat. Virtual Worlds 26(3-4): 377-386 (2015) - [j1]Xue Bin Peng, Glen Berseth, Michiel van de Panne:
Dynamic terrain traversal skills using reinforcement learning. ACM Trans. Graph. 34(4): 80:1-80:11 (2015) - [c5]M. Brandon Haworth, Muhammad Usman, Glen Berseth, Mubbasir Kapadia, Petros Faloutsos:
Evaluating and optimizing level of service for crowd evacuations. MIG 2015: 91-96 - [c4]Glen Berseth, Mubbasir Kapadia, Petros Faloutsos:
ACCLMesh: curvature-based navigation mesh generation. MIG 2015: 97-102 - 2014
- [c3]Glen Berseth, M. Brandon Haworth, Mubbasir Kapadia, Petros Faloutsos:
Characterizing and optimizing game level difficulty. MIG 2014: 153-160 - [c2]Glen Berseth, Mubbasir Kapadia, M. Brandon Haworth, Petros Faloutsos:
SteerFit: Automated Parameter Fitting for Steering Algorithms. Symposium on Computer Animation 2014: 113-122 - 2013
- [c1]Glen Berseth, Mubbasir Kapadia, Petros Faloutsos:
SteerPlex: Estimating Scenario Complexity for Simulated Crowds. MIG 2013: 67-76
Coauthor Index
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Citation data
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load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
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last updated on 2025-01-29 22:17 CET by the dblp team
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