Igor Mordatch
University of California, Berkeley
H-index: 48
North America-United States
Top articles of Igor Mordatch
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Grounded Decoding: Guiding Text Generation with Grounded Models for Embodied Agents | arXiv preprint arXiv:2303.00855 | Wenlong Huang Fei Xia Dhruv Shah Danny Driess Andy Zeng | 2023/3/1 |
Masked trajectory models for prediction, representation, and control | Philipp Wu Arjun Majumdar Kevin Stone Yixin Lin Igor Mordatch | 2023/7/3 | |
Frontier Language Models are not Robust to Adversarial Arithmetic, or" What do I need to say so you agree 2+ 2= 5? | arXiv preprint arXiv:2311.07587 | C Daniel Freeman Laura Culp Aaron Parisi Maxwell L Bileschi Gamaleldin F Elsayed | 2023/11/8 |
Multi-environment pretraining enables transfer to action limited datasets | ICML 2023 | David Venuto Sherry Yang Pieter Abbeel Doina Precup Igor Mordatch | 2022/11/23 |
Learning silicon dopant transitions in graphene using scanning transmission electron microscopy | Max Schwarzer Jesse Farebrother Joshua Greaves Kevin Roccapriore Ekin Cubuk | 2023/11/3 | |
Improving factuality and reasoning in language models through multiagent debate | arXiv preprint arXiv:2305.14325 | Yilun Du Shuang Li Antonio Torralba Joshua B Tenenbaum Igor Mordatch | 2023/5/23 |
Open x-embodiment: Robotic learning datasets and RT-x models | arXiv preprint arXiv:2310.08864 | Abhishek Padalkar Acorn Pooley Ajinkya Jain Alex Bewley Alex Herzog | 2023/10/13 |
Beyond human data: Scaling self-training for problem-solving with language models | arXiv preprint arXiv:2312.06585 | Avi Singh John D Co-Reyes Rishabh Agarwal Ankesh Anand Piyush Patil | 2023/12/11 |
Bi-Manual Block Assembly via Sim-to-Real Reinforcement Learning | arXiv preprint arXiv:2303.14870 | Satoshi Kataoka Youngseog Chung Seyed Kamyar Seyed Ghasemipour Pannag Sanketi Shixiang Shane Gu | 2023/3/27 |
Scalable diffusion for materials generation | arXiv preprint arXiv:2311.09235 | Mengjiao Yang KwangHwan Cho Amil Merchant Pieter Abbeel Dale Schuurmans | 2023/10/18 |
Rt-2: Vision-language-action models transfer web knowledge to robotic control | 7th Annual Conference on Robot Learning | Anthony Brohan Noah Brown Justice Carbajal Yevgen Chebotar Xi Chen | 2023/7/28 |
Palm-e: An embodied multimodal language model | The International Conference on Machine Learning | Danny Driess Fei Xia Mehdi SM Sajjadi Corey Lynch Aakanksha Chowdhery | 2023/3/6 |
Discovering the Electron Beam Induced Transition Rates for Silicon Dopants in Graphene with Deep Neural Networks in the STEM | Kevin M Roccapriore Max Schwarzer Joshua Greaves Jesse Farebrother Rishabh Agarwal | 2023/8/1 | |
Learning and Controlling Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy | arXiv preprint arXiv:2311.17894 | Max Schwarzer* Jesse Farebrother* Joshua Greaves Ekin Dogus Cubuk Rishabh Agarwal | 2023/11/21 |
Quantifying uncertainty in foundation models via ensembles | Meiqi Sun Wilson Yan Pieter Abbeel Igor Mordatch | 2022/11/18 | |
Rt-1: Robotics transformer for real-world control at scale | Robotics: Science and Systems | Anthony Brohan Noah Brown Justice Carbajal Yevgen Chebotar Joseph Dabis | 2022/12/13 |
Bi-manual manipulation and attachment via sim-to-real reinforcement learning | arXiv preprint arXiv:2203.08277 | Satoshi Kataoka Seyed Kamyar Seyed Ghasemipour Daniel Freeman Igor Mordatch | 2022/3/15 |
Inner monologue: Embodied reasoning through planning with language models | Proceedings of The 6th Conference on Robot Learning | Wenlong Huang* Fei Xia* Ted Xiao* Harris Chan Jacky Liang | 2022/7/12 |
Velo: Training versatile learned optimizers by scaling up | arXiv preprint arXiv:2211.09760 | Luke Metz James Harrison C Daniel Freeman Amil Merchant Lucas Beyer | 2022/11/17 |
Multi-game decision transformers | Neural Information Processing Systems (NeurIPS) 2022 | Kuang-Huei Lee Ofir Nachum Mengjiao Yang Lisa Lee Daniel Freeman | 2022/5/30 |
