Igor Mordatch - RankMe

135 papers A* 32A 4B 1Misc 5Journal 74Unranked 18

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains. ICLR Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch
2025	J	`jnl`	Multiagent Finetuning: Self Improvement with Diverse Reasoning Chains. CoRR Vighnesh Subramaniam, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Shuang Li, Igor Mordatch
2025	J	`jnl`	Self-Improving Embodied Foundation Models. CoRR Seyed Kamyar Seyed Ghasemipour, Ayzaan Wahid, Jonathan Tompson, Pannag Sanketi, Igor Mordatch
2024	J	`jnl`	Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models. Trans. Mach. Learn. Res. Avi Singh, John D. Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J. Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron T. Parisi, Abhishek Kumar, Alexander A. Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin Fathy Elsayed, Hanie Sedghi, Igor Mordatch, Isabelle Simpson, Izzeddin Gur, Jasper Snoek, Jeffrey Pennington, Jiri Hron, Kathleen Kenealy, Kevin Swersky, Kshiteej Mahajan, Laura Culp, Lechao Xiao, Maxwell L. Bileschi, Noah Constant, Roman Novak, Rosanne Liu, Tris Warkentin, Yundi Qian, Yamini Bansal, Ethan Dyer, Behnam Neyshabur, Jascha Sohl-Dickstein, Noah Fiedel
2024	A*	`conf`	Generative Hierarchical Materials Search. NeurIPS Sherry Yang, Simon L. Batzner, Ruiqi Gao, Muratahan Aykol, Alexander L. Gaunt, Brendan McMorrow, Danilo Jimenez Rezende, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk
2024	J	`jnl`	Generative Hierarchical Materials Search. CoRR Sherry Yang, Simon L. Batzner, Ruiqi Gao, Muratahan Aykol, Alexander L. Gaunt, Brendan McMorrow, Danilo J. Rezende, Dale Schuurmans, Igor Mordatch, Ekin D. Cubuk
2024	A*	`conf`	Improving Factuality and Reasoning in Language Models through Multiagent Debate. ICML Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch
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	A*	`conf`	Scalable Diffusion for Materials Generation. ICLR Sherry Yang, KwangHwan Cho, Amil Merchant, Pieter Abbeel, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk
2024	J	`jnl`	Semi-Supervised One Shot Imitation Learning. RLJ Philipp Wu, Kourosh Hakhamaneshi, Yuqing Du, Igor Mordatch, Aravind Rajeswaran, Pieter Abbeel
2024	J	`jnl`	Semi-Supervised One-Shot Imitation Learning. CoRR Philipp Wu, Kourosh Hakhamaneshi, Yuqing Du, Igor Mordatch, Aravind Rajeswaran, Pieter Abbeel
2024	J	`jnl`	Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability. CoRR Jiri Hron, Laura Culp, Gamaleldin F. Elsayed, Rosanne Liu, Ben Adlam, Maxwell L. Bileschi, Bernd Bohnet, JD Co-Reyes, Noah Fiedel, C. Daniel Freeman, Izzeddin Gur, Kathleen Kenealy, Jaehoon Lee, Peter J. Liu, Gaurav Mishra, Igor Mordatch, Azade Nova, Roman Novak, Aaron Parisi, Jeffrey Pennington, Alex Rizkowsky, Isabelle Simpson, Hanie Sedghi, Jascha Sohl-Dickstein, Kevin Swersky, Sharad Vikram, Tris Warkentin, Lechao Xiao, Kelvin Xu, Jasper Snoek, Simon Kornblith
2023	J	`jnl`	Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models. CoRR Avi Singh, John D. Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J. Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron Parisi, Abhishek Kumar, Alex Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin F. Elsayed, Hanie Sedghi, Igor Mordatch, Isabelle Simpson, Izzeddin Gur, Jasper Snoek, Jeffrey Pennington, Jiri Hron, Kathleen Kenealy, Kevin Swersky, Kshiteej Mahajan, Laura Culp, Lechao Xiao, Maxwell L. Bileschi, Noah Constant, Roman Novak, Rosanne Liu, Tris Warkentin, Yundi Qian, Yamini Bansal, Ethan Dyer, Behnam Neyshabur, Jascha Sohl-Dickstein, Noah Fiedel
2023	J	`jnl`	Bi-Manual Block Assembly via Sim-to-Real Reinforcement Learning. CoRR Satoshi Kataoka, Youngseog Chung, Seyed Kamyar Seyed Ghasemipour, Pannag Sanketi, Shixiang Shane Gu, Igor Mordatch
2023	A*	`conf`	Composing Ensembles of Pre-trained Models via Iterative Consensus. ICLR Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch
2023	A	`conf`	Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition. AAMAS Peter Sunehag, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán, Igor Mordatch, Joel Z. Leibo
2023	J	`jnl`	Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition. CoRR Peter Sunehag, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán, Igor Mordatch, Joel Z. Leibo
2023	J	`jnl`	Frontier Language Models are not Robust to Adversarial Arithmetic, or "What do I need to say so you agree 2+2=5? CoRR C. Daniel Freeman, Laura Culp, Aaron Parisi, Maxwell L. Bileschi, Gamaleldin F. Elsayed, Alex Rizkowsky, Isabelle Simpson, Alex Alemi, Azade Nova, Ben Adlam, Bernd Bohnet, Gaurav Mishra, Hanie Sedghi, Igor Mordatch, Izzeddin Gur, Jaehoon Lee, John D. Co-Reyes, Jeffrey Pennington, Kelvin Xu, Kevin Swersky, Kshiteej Mahajan, Lechao Xiao, Rosanne Liu, Simon Kornblith, Noah Constant, Peter J. Liu, Roman Novak, Yundi Qian, Noah Fiedel, Jascha Sohl-Dickstein
2023	A*	`conf`	Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents. NeurIPS Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter
2023	J	`jnl`	Grounded Decoding: Guiding Text Generation with Grounded Models for Robot Control. CoRR Wenlong Huang, Fei Xia, Dhruv Shah, Danny Driess, Andy Zeng, Yao Lu, Pete Florence, Igor Mordatch, Sergey Levine, Karol Hausman, Brian Ichter
2023	J	`jnl`	Improving Factuality and Reasoning in Language Models through Multiagent Debate. CoRR Yilun Du, Shuang Li, Antonio Torralba, Joshua B. Tenenbaum, Igor Mordatch
2023	J	`jnl`	Learning and Controlling Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy. CoRR Max Schwarzer, Jesse Farebrother, Joshua Greaves, Ekin Dogus Cubuk, Rishabh Agarwal, Aaron C. Courville, Marc G. Bellemare, Sergei V. Kalinin, Igor Mordatch, Pablo Samuel Castro, Kevin M. Roccapriore
2023	A*	`conf`	Masked Trajectory Models for Prediction, Representation, and Control. ICML Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran
2023	J	`jnl`	Masked Trajectory Models for Prediction, Representation, and Control. CoRR Philipp Wu, Arjun Majumdar, Kevin Stone, Yixin Lin, Igor Mordatch, Pieter Abbeel, Aravind Rajeswaran
2023	A*	`conf`	Multi-Environment Pretraining Enables Transfer to Action Limited Datasets. ICML David Venuto, Sherry Yang, Pieter Abbeel, Doina Precup, Igor Mordatch, Ofir Nachum
2023	J	`jnl`	Open X-Embodiment: Robotic Learning Datasets and RT-X Models. CoRR Open X.-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Raj, Anikait Singh, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.
2023	A*	`conf`	PaLM-E: An Embodied Multimodal Language Model. ICML Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence
2023	J	`jnl`	PaLM-E: An Embodied Multimodal Language Model. CoRR Danny Driess, Fei Xia, Mehdi S. M. Sajjadi, Corey Lynch, Aakanksha Chowdhery, Brian Ichter, Ayzaan Wahid, Jonathan Tompson, Quan Vuong, Tianhe Yu, Wenlong Huang, Yevgen Chebotar, Pierre Sermanet, Daniel Duckworth, Sergey Levine, Vincent Vanhoucke, Karol Hausman, Marc Toussaint, Klaus Greff, Andy Zeng, Igor Mordatch, Pete Florence
2023	—	`conf`	RT-1: Robotics Transformer for Real-World Control at Scale. Robotics: Science and Systems Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Tomas Jackson, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Kuang-Huei Lee, Sergey Levine, Yao Lu, Utsav Malla, Deeksha Manjunath, Igor Mordatch, Ofir Nachum, Carolina Parada, Jodilyn Peralta, Emily Perez, Karl Pertsch, Jornell Quiambao, Kanishka Rao, Michael S. Ryoo, Grecia Salazar, Pannag R. Sanketi, Kevin Sayed, Jaspiar Singh, Sumedh Sontakke, Austin Stone, Clayton Tan, Huong T. Tran, Vincent Vanhoucke, Steve Vega, Quan Vuong, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich
2023	Misc	`conf`	RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. CoRL Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong T. Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, Kehang Han
2023	J	`jnl`	RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. CoRR Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Xi Chen, Krzysztof Choromanski, Tianli Ding, Danny Driess, Avinava Dubey, Chelsea Finn, Pete Florence, Chuyuan Fu, Montse Gonzalez Arenas, Keerthana Gopalakrishnan, Kehang Han, Karol Hausman, Alexander Herzog, Jasmine Hsu, Brian Ichter, Alex Irpan, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Lisa Lee, Tsang-Wei Edward Lee, Sergey Levine, Yao Lu, Henryk Michalewski, Igor Mordatch, Karl Pertsch, Kanishka Rao, Krista Reymann, Michael S. Ryoo, Grecia Salazar, Pannag Sanketi, Pierre Sermanet, Jaspiar Singh, Anikait Singh, Radu Soricut, Huong T. Tran, Vincent Vanhoucke, Quan Vuong, Ayzaan Wahid, Stefan Welker, Paul Wohlhart, Jialin Wu, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich
2023	J	`jnl`	Scalable Diffusion for Materials Generation. CoRR Mengjiao Yang, KwangHwan Cho, Amil Merchant, Pieter Abbeel, Dale Schuurmans, Igor Mordatch, Ekin Dogus Cubuk
2022	J	`jnl`	Bi-Manual Manipulation and Attachment via Sim-to-Real Reinforcement Learning. CoRR Satoshi Kataoka, Seyed Kamyar Seyed Ghasemipour, C. Daniel Freeman, Igor Mordatch
2022	A*	`conf`	Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning. ICML Seyed Kamyar Seyed Ghasemipour, Satoshi Kataoka, Byron David, Daniel Freeman, Shixiang Shane Gu, Igor Mordatch
2022	J	`jnl`	Blocks Assemble! Learning to Assemble with Large-Scale Structured Reinforcement Learning. CoRR Seyed Kamyar Seyed Ghasemipour, Daniel Freeman, Byron David, Shixiang Gu, Satoshi Kataoka, Igor Mordatch
2022	J	`jnl`	Composing Ensembles of Pre-trained Models via Iterative Consensus. CoRR Shuang Li, Yilun Du, Joshua B. Tenenbaum, Antonio Torralba, Igor Mordatch
2022	—	`conf`	Energy-Based Models for Continual Learning. CoLLAs Shuang Li, Yilun Du, Gido van de Ven, Igor Mordatch
2022	J	`jnl`	FCM: Forgetful Causal Masking Makes Causal Language Models Better Zero-Shot Learners. CoRR Hao Liu, Xinyang Geng, Lisa Lee, Igor Mordatch, Sergey Levine, Sharan Narang, Pieter Abbeel
2022	A*	`conf`	Frozen Pretrained Transformers as Universal Computation Engines. AAAI Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch
2022	J	`jnl`	Implicit Offline Reinforcement Learning via Supervised Learning. CoRR Alexandre Piché, Rafael Pardinas, David Vázquez, Igor Mordatch, Chris Pal
2022	Misc	`conf`	Inner Monologue: Embodied Reasoning through Planning with Language Models. CoRL Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Tomas Jackson, Noah Brown, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter
2022	J	`jnl`	Inner Monologue: Embodied Reasoning through Planning with Language Models. CoRR Wenlong Huang, Fei Xia, Ted Xiao, Harris Chan, Jacky Liang, Pete Florence, Andy Zeng, Jonathan Tompson, Igor Mordatch, Yevgen Chebotar, Pierre Sermanet, Noah Brown, Tomas Jackson, Linda Luu, Sergey Levine, Karol Hausman, Brian Ichter
2022	A*	`conf`	Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents. ICML Wenlong Huang, Pieter Abbeel, Deepak Pathak, Igor Mordatch
2022	J	`jnl`	Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents. CoRR Wenlong Huang, Pieter Abbeel, Deepak Pathak, Igor Mordatch
2022	A*	`conf`	Learning Iterative Reasoning through Energy Minimization. ICML Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch
2022	J	`jnl`	Learning Iterative Reasoning through Energy Minimization. CoRR Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch
2022	J	`jnl`	Melting Pot 2.0. CoRR John P. Agapiou, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán, Jayd Matyas, Yiran Mao, Peter Sunehag, Raphael Köster, Udari Madhushani, Kavya Kopparapu, Ramona Comanescu, DJ Strouse, Michael Bradley Johanson, Sukhdeep Singh, Julia Haas, Igor Mordatch, Dean Mobbs, Joel Z. Leibo
2022	J	`jnl`	Multi-Environment Pretraining Enables Transfer to Action Limited Datasets. CoRR David Venuto, Sherry Yang, Pieter Abbeel, Doina Precup, Igor Mordatch, Ofir Nachum
2022	A*	`conf`	Multi-Game Decision Transformers. NeurIPS Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Sergio Guadarrama, Ian Fischer, Winnie Xu, Eric Jang, Henryk Michalewski, Igor Mordatch
2022	J	`jnl`	Multi-Game Decision Transformers. CoRR Kuang-Huei Lee, Ofir Nachum, Mengjiao Yang, Lisa Lee, Daniel Freeman, Winnie Xu, Sergio Guadarrama, Ian Fischer, Eric Jang, Henryk Michalewski, Igor Mordatch
2022	A*	`conf`	Pre-Trained Language Models for Interactive Decision-Making. NeurIPS Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu
2022	J	`jnl`	Pre-Trained Language Models for Interactive Decision-Making. CoRR Shuang Li, Xavier Puig, Chris Paxton, Yilun Du, Clinton Wang, Linxi Fan, Tao Chen, De-An Huang, Ekin Akyürek, Anima Anandkumar, Jacob Andreas, Igor Mordatch, Antonio Torralba, Yuke Zhu
2022	J	`jnl`	RT-1: Robotics Transformer for Real-World Control at Scale. CoRR Anthony Brohan, Noah Brown, Justice Carbajal, Yevgen Chebotar, Joseph Dabis, Chelsea Finn, Keerthana Gopalakrishnan, Karol Hausman, Alexander Herzog, Jasmine Hsu, Julian Ibarz, Brian Ichter, Alex Irpan, Tomas Jackson, Sally Jesmonth, Nikhil J. Joshi, Ryan Julian, Dmitry Kalashnikov, Yuheng Kuang, Isabel Leal, Kuang-Huei Lee, Sergey Levine, Yao Lu, Utsav Malla, Deeksha Manjunath, Igor Mordatch, Ofir Nachum, Carolina Parada, Jodilyn Peralta, Emily Perez, Karl Pertsch, Jornell Quiambao, Kanishka Rao, Michael S. Ryoo, Grecia Salazar, Pannag Sanketi, Kevin Sayed, Jaspiar Singh, Sumedh Sontakke, Austin Stone, Clayton Tan, Huong T. Tran, Vincent Vanhoucke, Steve Vega, Quan Vuong, Fei Xia, Ted Xiao, Peng Xu, Sichun Xu, Tianhe Yu, Brianna Zitkovich
2022	J	`jnl`	VeLO: Training Versatile Learned Optimizers by Scaling Up. CoRR Luke Metz, James Harrison, C. Daniel Freeman, Amil Merchant, Lucas Beyer, James Bradbury, Naman Agrawal, Ben Poole, Igor Mordatch, Adam Roberts, Jascha Sohl-Dickstein
2021	—	`conf`	Brax - A Differentiable Physics Engine for Large Scale Rigid Body Simulation. NeurIPS Datasets and Benchmarks C. Daniel Freeman, Erik Frey, Anton Raichuk, Sertan Girgin, Igor Mordatch, Olivier Bachem
2021	J	`jnl`	Brax - A Differentiable Physics Engine for Large Scale Rigid Body Simulation. CoRR C. Daniel Freeman, Erik Frey, Anton Raichuk, Sertan Girgin, Igor Mordatch, Olivier Bachem
2021	A*	`conf`	Decision Transformer: Reinforcement Learning via Sequence Modeling. NeurIPS Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch
2021	J	`jnl`	Decision Transformer: Reinforcement Learning via Sequence Modeling. CoRR Lili Chen, Kevin Lu, Aravind Rajeswaran, Kimin Lee, Aditya Grover, Michael Laskin, Pieter Abbeel, Aravind Srinivas, Igor Mordatch
2021	J	`jnl`	Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning. CoRR Wenlong Huang, Igor Mordatch, Pieter Abbeel, Deepak Pathak
2021	Misc	`conf`	Implicit Behavioral Cloning. CoRL Pete Florence, Corey Lynch, Andy Zeng, Oscar A. Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson
2021	J	`jnl`	Implicit Behavioral Cloning. CoRR Pete Florence, Corey Lynch, Andy Zeng, Oscar Ramirez, Ayzaan Wahid, Laura Downs, Adrian Wong, Johnny Lee, Igor Mordatch, Jonathan Tompson
2021	A*	`conf`	Improved Contrastive Divergence Training of Energy-Based Models. ICML Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch
2021	A*	`conf`	Model-Based Reinforcement Learning via Latent-Space Collocation. ICML Oleh Rybkin, Chuning Zhu, Anusha Nagabandi, Kostas Daniilidis, Igor Mordatch, Sergey Levine
2021	J	`jnl`	Model-Based Reinforcement Learning via Latent-Space Collocation. CoRR Oleh Rybkin, Chuning Zhu, Anusha Nagabandi, Kostas Daniilidis, Igor Mordatch, Sergey Levine
2021	J	`jnl`	Pretrained Transformers as Universal Computation Engines. CoRR Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch
2021	A*	`conf`	Reset-Free Lifelong Learning with Skill-Space Planning. ICLR Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch
2021	A*	`conf`	Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot. ICML Joel Z. Leibo, Edgar A. Duéñez-Guzmán, Alexander Vezhnevets, John P. Agapiou, Peter Sunehag, Raphael Koster, Jayd Matyas, Charlie Beattie, Igor Mordatch, Thore Graepel
2021	J	`jnl`	Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot. CoRR Joel Z. Leibo, Edgar A. Duéñez-Guzmán, Alexander Sasha Vezhnevets, John P. Agapiou, Peter Sunehag, Raphael Koster, Jayd Matyas, Charles Beattie, Igor Mordatch, Thore Graepel
2021	—	`conf`	The Neural MMO Platform for Massively Multiagent Research. NeurIPS Datasets and Benchmarks Joseph Suarez, Yilun Du, Clare Zhu, Igor Mordatch, Phillip Isola
2021	J	`jnl`	The Neural MMO Platform for Massively Multiagent Research. CoRR Joseph Suarez, Yilun Du, Clare Zhu, Igor Mordatch, Phillip Isola
2021	A*	`conf`	Unsupervised Learning of Compositional Energy Concepts. NeurIPS Yilun Du, Shuang Li, Yash Sharma, Josh Tenenbaum, Igor Mordatch
2021	J	`jnl`	Unsupervised Learning of Compositional Energy Concepts. CoRR Yilun Du, Shuang Li, Yash Sharma, Joshua B. Tenenbaum, Igor Mordatch
2020	A*	`conf`	A Game Theoretic Framework for Model Based Reinforcement Learning. ICML Aravind Rajeswaran, Igor Mordatch, Vikash Kumar
2020	J	`jnl`	A Game Theoretic Framework for Model Based Reinforcement Learning. CoRR Aravind Rajeswaran, Igor Mordatch, Vikash Kumar
2020	J	`jnl`	Compositional Visual Generation and Inference with Energy Based Models. CoRR Yilun Du, Shuang Li, Igor Mordatch
2020	A*	`conf`	Compositional Visual Generation with Energy Based Models. NeurIPS Yilun Du, Shuang Li, Igor Mordatch
2020	A*	`conf`	Emergent Tool Use From Multi-Agent Autocurricula. ICLR Bowen Baker, Ingmar Kanitscheider, Todor M. Markov, Yi Wu, Glenn Powell, Bob McGrew, Igor Mordatch
2020	J	`jnl`	Energy-Based Models for Continual Learning. CoRR Shuang Li, Yilun Du, Gido M. van de Ven, Antonio Torralba, Igor Mordatch
2020	A*	`conf`	Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction. NeurIPS Michael Janner, Igor Mordatch, Sergey Levine
2020	J	`jnl`	Improved Contrastive Divergence Training of Energy Based Models. CoRR Yilun Du, Shuang Li, Joshua B. Tenenbaum, Igor Mordatch
2020	A	`conf`	Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks. AAMAS Joseph Suarez, Yilun Du, Igor Mordatch, Phillip Isola
2020	J	`jnl`	Neural MMO v1.3: A Massively Multiagent Game Environment for Training and Evaluating Neural Networks. CoRR Joseph Suarez, Yilun Du, Igor Mordatch, Phillip Isola
2020	A*	`conf`	One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control. ICML Wenlong Huang, Igor Mordatch, Deepak Pathak
2020	J	`jnl`	One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control. CoRR Wenlong Huang, Igor Mordatch, Deepak Pathak
2020	J	`jnl`	Rearrangement: A Challenge for Embodied AI. CoRR Dhruv Batra, Angel X. Chang, Sonia Chernova, Andrew J. Davison, Jia Deng, Vladlen Koltun, Sergey Levine, Jitendra Malik, Igor Mordatch, Roozbeh Mottaghi, Manolis Savva, Hao Su
2020	J	`jnl`	Reset-Free Lifelong Learning with Skill-Space Planning. CoRR Kevin Lu, Aditya Grover, Pieter Abbeel, Igor Mordatch
2020	J	`jnl`	γ-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction. CoRR Michael Janner, Igor Mordatch, Sergey Levine
2019	J	`jnl`	Adaptive Online Planning for Continual Lifelong Learning. CoRR Kevin Lu, Igor Mordatch, Pieter Abbeel
2019	B	`conf`	Concept Learning with Energy-Based Models. CogSci Igor Mordatch
2019	J	`jnl`	Emergent Tool Use From Multi-Agent Autocurricula. CoRR Bowen Baker, Ingmar Kanitscheider, Todor M. Markov, Yi Wu, Glenn Powell, Bob McGrew, Igor Mordatch
2019	J	`jnl`	Implicit Generation and Generalization in Energy-Based Models. CoRR Yilun Du, Igor Mordatch
2019	A*	`conf`	Implicit Generation and Modeling with Energy Based Models. NeurIPS Yilun Du, Igor Mordatch
2019	J	`jnl`	Model Based Planning with Energy Based Models. CoRR Yilun Du, Toru Lin, Igor Mordatch
2019	Misc	`conf`	Model-Based Planning with Energy-Based Models. CoRL Yilun Du, Toru Lin, Igor Mordatch
2019	J	`jnl`	Multi Agent Reinforcement Learning with Multi-Step Generative Models. CoRR Orr Krupnik, Igor Mordatch, Aviv Tamar
2019	Misc	`conf`	Multi-Agent Reinforcement Learning with Multi-Step Generative Models. CoRL Orr Krupnik, Igor Mordatch, Aviv Tamar
2019	J	`jnl`	Neural MMO: A Massively Multiagent Game Environment for Training and Evaluating Intelligent Agents. CoRR Joseph Suarez, Yilun Du, Phillip Isola, Igor Mordatch
2019	—	`conf`	Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control. ICLR (Poster) Kendall Lowrey, Aravind Rajeswaran, Sham M. Kakade, Emanuel Todorov, Igor Mordatch
2019	—	`conf`	Skill emergence and transfer in multi-agent environments. GECCO (Companion) Ingmar Kanitscheider, Bowen Baker, Todor M. Markov, Igor Mordatch
2018	—	`conf`	Concept Learning with Energy-Based Models. ICLR (Workshop) Igor Mordatch
2018	J	`jnl`	Concept Learning with Energy-Based Models. CoRR Igor Mordatch
2018	—	`conf`	Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments. ICLR Maruan Al-Shedivat, Trapit Bansal, Yura Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel
2018	A*	`conf`	Emergence of Grounded Compositional Language in Multi-Agent Populations. AAAI Igor Mordatch, Pieter Abbeel
2018	—	`conf`	Emergent Complexity via Multi-Agent Competition. ICLR (Poster) Trapit Bansal, Jakub Pachocki, Szymon Sidor, Ilya Sutskever, Igor Mordatch
2018	A	`conf`	Learning with Opponent-Learning Awareness. AAMAS Jakob N. Foerster, Richard Y. Chen, Maruan Al-Shedivat, Shimon Whiteson, Pieter Abbeel, Igor Mordatch
2018	J	`jnl`	Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control. CoRR Kendall Lowrey, Aravind Rajeswaran, Sham M. Kakade, Emanuel Todorov, Igor Mordatch
2018	—	`conf`	Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. ICLR Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M. Bayen, Sham M. Kakade, Igor Mordatch, Pieter Abbeel
2018	J	`jnl`	Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines. CoRR Cathy Wu, Aravind Rajeswaran, Yan Duan, Vikash Kumar, Alexandre M. Bayen, Sham M. Kakade, Igor Mordatch, Pieter Abbeel
2017	J	`jnl`	Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments. CoRR Maruan Al-Shedivat, Trapit Bansal, Yuri Burda, Ilya Sutskever, Igor Mordatch, Pieter Abbeel
2017	J	`jnl`	Emergence of Grounded Compositional Language in Multi-Agent Populations. CoRR Igor Mordatch, Pieter Abbeel
2017	J	`jnl`	Emergent Complexity via Multi-Agent Competition. CoRR Trapit Bansal, Jakub Pachocki, Szymon Sidor, Ilya Sutskever, Igor Mordatch
2017	J	`jnl`	Interpretable and Pedagogical Examples. CoRR Smitha Milli, Pieter Abbeel, Igor Mordatch
2017	J	`jnl`	Learning with Opponent-Learning Awareness. CoRR Jakob N. Foerster, Richard Y. Chen, Maruan Al-Shedivat, Shimon Whiteson, Pieter Abbeel, Igor Mordatch
2017	—	`conf`	Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments. NIPS Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, Igor Mordatch
2017	J	`jnl`	Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments. CoRR Ryan Lowe, Yi Wu, Aviv Tamar, Jean Harb, Pieter Abbeel, Igor Mordatch
2017	A*	`conf`	Prediction and Control with Temporal Segment Models. ICML Nikhil Mishra, Pieter Abbeel, Igor Mordatch
2017	J	`jnl`	Prediction and Control with Temporal Segment Models. CoRR Nikhil Mishra, Pieter Abbeel, Igor Mordatch
2016	J	`jnl`	A Paradigm for Situated and Goal-Driven Language Learning. CoRR Jon Gauthier, Igor Mordatch
2016	A*	`conf`	Combining model-based policy search with online model learning for control of physical humanoids. ICRA Igor Mordatch, Nikhil Mishra, Clemens Eppner, Pieter Abbeel
2016	J	`jnl`	Transfer from Simulation to Real World through Learning Deep Inverse Dynamics Model. CoRR Paul F. Christiano, Zain Shah, Igor Mordatch, Jonas Schneider, Trevor Blackwell, Joshua Tobin, Pieter Abbeel, Wojciech Zaremba
2015	—	`—`	Automated Discovery and Learning of Complex Movement Behaviors. Igor Mordatch
2015	A	`conf`	Ensemble-CIO: Full-body dynamic motion planning that transfers to physical humanoids. IROS Igor Mordatch, Kendall Lowrey, Emanuel Todorov
2015	—	`conf`	Interactive Control of Diverse Complex Characters with Neural Networks. NIPS Igor Mordatch, Kendall Lowrey, Galen Andrew, Zoran Popovic, Emanuel Todorov
2015	A*	`conf`	Physics-based trajectory optimization for grasping in cluttered environments. ICRA Nikita Kitaev, Igor Mordatch, Sachin Patil, Pieter Abbeel
2014	—	`conf`	Combining the benefits of function approximation and trajectory optimization. Robotics: Science and Systems Igor Mordatch, Emo Todorov
2013	J	`jnl`	Animating human lower limbs using contact-invariant optimization. ACM Trans. Graph. Igor Mordatch, Jack M. Wang, Emanuel Todorov, Vladlen Koltun
2013	J	`jnl`	Stylizing animation by example. ACM Trans. Graph. Pierre Bénard, Forrester Cole, Michael Kass, Igor Mordatch, James Hegarty, Martin Sebastian Senn, Kurt W. Fleischer, Davide Pesare, Katherine Breeden
2012	—	`conf`	Contact-Invariant Optimization for Hand Manipulation. Symposium on Computer Animation Igor Mordatch, Zoran Popovic, Emanuel Todorov
2012	J	`jnl`	Discovery of complex behaviors through contact-invariant optimization. ACM Trans. Graph. Igor Mordatch, Emanuel Todorov, Zoran Popovic
2010	J	`jnl`	Feature-based locomotion controllers. ACM Trans. Graph. Martin de Lasa, Igor Mordatch, Aaron Hertzmann
2010	J	`jnl`	Robust physics-based locomotion using low-dimensional planning. ACM Trans. Graph. Igor Mordatch, Martin de Lasa, Aaron Hertzmann
2009	—	`conf`	Multiscale 3D navigation. SI3D James McCrae, Igor Mordatch, Michael Glueck, Azam Khan
2008	—	`conf`	Safe 3D navigation. SI3D George W. Fitzmaurice, Justin Matejka, Igor Mordatch, Azam Khan, Gordon Kurtenbach
2008	—	`conf`	ViewCube: a 3D orientation indicator and controller. SI3D Azam Khan, Igor Mordatch, George W. Fitzmaurice, Justin Matejka, Gordon Kurtenbach
2007	—	`conf`	Interface techniques for 3D control of spatial keyframing. SIGGRAPH Posters Igor Mordatch, Patrick Coleman, Karan Singh, Ravin Balakrishnan