Allen Z. Ren

According to our database, Allen Z. Ren authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Explore until Confident: Efficient Exploration for Embodied Question Answering.

Allen Z. Ren, Jaden Clark, Anushri Dixit, Masha Itkina, Anirudha Majumdar, Dorsa Sadigh

CoRR, 2024

Perceive With Confidence: Statistical Safety Assurances for Navigation with Learning-Based Perception.

Anushri Dixit, Zhiting Mei, Meghan Booker, Mariko Storey-Matsutani, Allen Z. Ren, Anirudha Majumdar

CoRR, 2024

Learning to Learn Faster from Human Feedback with Language Model Predictive Control.

Jacky Liang, Fei Xia, Wenhao Yu, Andy Zeng, Montserrat Gonzalez Arenas, Maria Attarian, Maria Bauzá, Matthew Bennice, Alex Bewley, Adil Dostmohamed, Chuyuan Kelly Fu, Nimrod Gileadi, Marissa Giustina, Keerthana Gopalakrishnan, Leonard Hasenclever, Jan Humplik, Jasmine Hsu, Nikhil J. Joshi, Ben Jyenis, J. Chase Kew, Sean Kirmani, Tsang-Wei Edward Lee, Kuang-Huei Lee, Assaf Hurwitz Michaely, Joss Moore, Ken Oslund, Dushyant Rao, Allen Z. Ren, Baruch Tabanpour, Quan Vuong, Ayzaan Wahid, Ted Xiao, Ying Xu, Vincent Zhuang, Peng Xu, Erik Frey, Ken Caluwaerts, Tingnan Zhang, Brian Ichter, Jonathan Tompson, Leila Takayama, Vincent Vanhoucke, Izhak Shafran, Maja J. Mataric, Dorsa Sadigh, Nicolas Heess, Kanishka Rao, Nik Stewart, Jie Tan, Carolina Parada

CoRR, 2024

Sim-to-Lab-to-Real: Safe Reinforcement Learning with Shielding and Generalization Guarantees (Abstract Reprint).

Kai-Chieh Hsu, Allen Z. Ren, Duy Phuong Nguyen, Anirudha Majumdar, Jaime F. Fisac

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Learning a Universal Human Prior for Dexterous Manipulation from Human Preference.

Zihan Ding, Yuanpei Chen, Allen Z. Ren, Shixiang Shane Gu, Hao Dong, Chi Jin

CoRR, 2023

Sim-to-Lab-to-Real: Safe reinforcement learning with shielding and generalization guarantees.

Kai-Chieh Hsu, Allen Z. Ren, Duy Phuong Nguyen, Anirudha Majumdar, Jaime F. Fisac

Artif. Intell., 2023

FlowDrone: Wind Estimation and Gust Rejection on UAVs Using Fast-Response Hot-Wire Flow Sensors.

Nathaniel Simon, Allen Z. Ren, Alexander Piqué, David Snyder, Daphne Barretto, Marcus Hultmark, Anirudha Majumdar

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners.

Allen Z. Ren, Anushri Dixit, Alexandra Bodrova, Sumeet Singh, Stephen Tu, Noah Brown, Peng Xu, Leila Takayama, Fei Xia, Jake Varley, Zhenjia Xu, Dorsa Sadigh, Andy Zeng, Anirudha Majumdar

Proceedings of the Conference on Robot Learning, 2023

AdaptSim: Task-Driven Simulation Adaptation for Sim-to-Real Transfer.

Allen Z. Ren, Hongkai Dai, Benjamin Burchfiel, Anirudha Majumdar

Proceedings of the Conference on Robot Learning, 2023

2022

Distributionally Robust Policy Learning via Adversarial Environment Generation.

Allen Z. Ren, Anirudha Majumdar

IEEE Robotics Autom. Lett., 2022

Failure Prediction with Statistical Guarantees for Vision-Based Robot Control.

Alec Farid, David Snyder, Allen Z. Ren, Anirudha Majumdar

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Stronger Generalization Guarantees for Robot Learning by Combining Generative Models and Real-World Data.

Abhinav Agarwal, Sushant Veer, Allen Z. Ren, Anirudha Majumdar

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Leveraging Language for Accelerated Learning of Tool Manipulation.

Allen Z. Ren, Bharat Govil, Tsung-Yen Yang, Karthik R. Narasimhan, Anirudha Majumdar

Proceedings of the Conference on Robot Learning, 2022

2020

Generalization Guarantees for Multi-Modal Imitation Learning.

Allen Z. Ren, Sushant Veer, Anirudha Majumdar

CoRR, 2020

Generalization Guarantees for Imitation Learning.

Allen Z. Ren, Sushant Veer, Anirudha Majumdar

Proceedings of the 4th Conference on Robot Learning, 2020