Aleksandra Faust
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
12
Active years
2013–2025
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models. | Yinlam Chow, Guy Tennenholtz, Izzeddin Gur, Vincent Zhuang, Bo Dai, Aviral Kumar, Rishabh Agarwal, Sridhar Thiagarajan, Craig Boutilier, Aleksandra Faust |
| 2025 | ICLR | Training Language Models to Self-Correct via Reinforcement Learning. | Aviral Kumar, Vincent Zhuang, Rishabh Agarwal, Yi Su, John D. Co-Reyes, Avi Singh, Kate Baumli, Shariq Iqbal, Colton Bishop, Rebecca Roelofs, Lei M. Zhang, Kay McKinney, Disha Shrivastava, Cosmin Paduraru, George Tucker, Doina Precup, Feryal M. P. Behbahani, Aleksandra Faust |
| 2025 | ICLR | ElasticTok: Adaptive Tokenization for Image and Video. | Wilson Yan, Volodymyr Mnih, Aleksandra Faust, Matei Zaharia, Pieter Abbeel, Hao Liu |
| 2024 | ICLR | Multimodal Web Navigation with Instruction-Finetuned Foundation Models. | Hiroki Furuta, Kuang-Huei Lee, Ofir Nachum, Yutaka Matsuo, Aleksandra Faust, Shixiang Shane Gu, Izzeddin Gur |
| 2024 | ICLR | A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis. | Izzeddin Gur, Hiroki Furuta, Austin V. Huang, Mustafa Safdari, Yutaka Matsuo, Douglas Eck, Aleksandra Faust |
| 2024 | ICML | Stop Regressing: Training Value Functions via Classification for Scalable Deep RL. | Jesse Farebrother, Jordi Orbay, Quan Vuong, Adrien Ali Taga, Yevgen Chebotar, Ted Xiao, Alex Irpan, Sergey Levine, Pablo Samuel Castro, Aleksandra Faust, Aviral Kumar, Rishabh Agarwal |
| 2024 | ICML | Position: Levels of AGI for Operationalizing Progress on the Path to AGI. | Meredith Ringel Morris, Jascha Sohl-Dickstein, Noah Fiedel, Tris Warkentin, Allan Dafoe, Aleksandra Faust, Clment Farabet, Shane Legg |
| 2023 | CoRL | SayTap: Language to Quadrupedal Locomotion. | Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada |
| 2023 | EMNLP | Understanding HTML with Large Language Models. | Izzeddin Gur, Ofir Nachum, Yingjie Miao, Mustafa Safdari, Austin V. Huang, Aakanksha Chowdhery, Sharan Narang, Noah Fiedel, Aleksandra Faust |
| 2023 | ICML | CLUTR: Curriculum Learning via Unsupervised Task Representation Learning. | Abdus Salam Azad, Izzeddin Gur, Jasper Emhoff, Nathaniel Alexis, Aleksandra Faust, Pieter Abbeel, Ion Stoica |
| 2023 | IROS | Enhancing Value Estimation Policies by Post-Hoc Symmetry Exploitation in Motion Planning Tasks. | Yazied A. Hasan, Ariana M. Villegas-Suarez, Evan C. Carter, Aleksandra Faust, Lydia Tapia |
| 2023 | IROS | Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. | Yiren Lu, Justin Fu, George Tucker, Xinlei Pan, Eli Bronstein, Rebecca Roelofs, Benjamin Sapp, Brandyn White, Aleksandra Faust, Shimon Whiteson, Dragomir Anguelov, Sergey Levine |
| 2023 | ISCA | ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design. | Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi |
| 2022 | CVPR | Less is More: Generating Grounded Navigation Instructions from Landmarks. | Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust, Izzeddin Gur, Natasha Jaques, Austin Waters, Jason Baldridge, Peter Anderson |
| 2022 | ICRA | Multi-Task Learning with Sequence-Conditioned Transporter Networks. | Michael H. Lim, Andy Zeng, Brian Ichter, Maryam Bandari, Erwin Coumans, Claire J. Tomlin, Stefan Schaal, Aleksandra Faust |
| 2022 | ISPASS | Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles. | Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Ninad Jadhav, Aleksandra Faust, Vijay Janapa Reddi |
| 2022 | MICRO | Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles. | Srivatsan Krishnan, Zishen Wan, Kshitij Bhardwaj, Paul N. Whatmough, Aleksandra Faust, Sabrina M. Neuman, Gu-Yeon Wei, David Brooks, Vijay Janapa Reddi |
| 2022 | UAI | Fast inference and transfer of compositional task structures for few-shot task generalization. | Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Lyubing Qiang, Izzeddin Gur, Aleksandra Faust, Honglak Lee |
| 2021 | ICLR | Evolving Reinforcement Learning Algorithms. | John D. Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Quoc V. Le, Sergey Levine, Honglak Lee, Aleksandra Faust |
| 2021 | ICRA | Avoidance Critical Probabilistic Roadmaps for Motion Planning in Dynamic Environments. | Felipe Felix Arias, Brian Ichter, Aleksandra Faust, Nancy M. Amato |
| 2021 | ICRA | Tiny Robot Learning (tinyRL) for Source Seeking on a Nano Quadcopter. | Bardienus Pieter Duisterhof, Srivatsan Krishnan, Jonathan J. Cruz, Colby R. Banbury, William Fu, Aleksandra Faust, Guido C. H. E. de Croon, Vijay Janapa Reddi |
| 2021 | WAFR | Neural Collision Clearance Estimator for Batched Motion Planning. | J. Chase Kew, Brian Ichter, Maryam Bandari, Tsang-Wei Edward Lee, Aleksandra Faust |
| 2020 | CoRL | Safe Policy Learning for Continuous Control. | Yinlam Chow, Ofir Nachum, Aleksandra Faust, Edgar A. Duez-Guzmn, Mohammad Ghavamzadeh |
| 2020 | CoRL | Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous. | Rose E. Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Edward Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust |
| 2020 | ICRA | Learned Critical Probabilistic Roadmaps for Robotic Motion Planning. | Brian Ichter, Edward Schmerling, Tsang-Wei Edward Lee, Aleksandra Faust |
| 2020 | ICRA | Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation. | Xinlei Pan, Tingnan Zhang, Brian Ichter, Aleksandra Faust, Jie Tan, Sehoon Ha |
| 2019 | ICLR | Learning to Navigate the Web. | Izzeddin Gur, Ulrich Rckert, Aleksandra Faust, Dilek Hakkani-Tr |
| 2019 | IROS | Comparison of Deep Reinforcement Learning Policies to Formal Methods for Moving Obstacle Avoidance. | Arpit Garg, Hao-Tien Lewis Chiang, Satomi Sugaya, Aleksandra Faust, Lydia Tapia |
| 2018 | ICRA | PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-Based Planning. | Aleksandra Faust, Kenneth Oslund, Oscar Ramirez, Anthony G. Francis, Lydia Tapia, Marek Fiser, James Davidson |
| 2018 | MICRO | MAVBench: Micro Aerial Vehicle Benchmarking. | Behzad Boroujerdian, Hasan Genc, Srivatsan Krishnan, Wenzhi Cui, Aleksandra Faust, Vijay Janapa Reddi |
| 2018 | WAFR | Fast Swept Volume Estimation with Deep Learning. | Hao-Tien Lewis Chiang, Aleksandra Faust, Satomi Sugaya, Lydia Tapia |
| 2016 | ICRA | Avoiding moving obstacles with stochastic hybrid dynamics using PEARL: PrEference Appraisal Reinforcement Learning. | Aleksandra Faust, Hao-Tien Chiang, Nathanael Rackley, Lydia Tapia |
| 2015 | ICRA | Preference-balancing motion planning under stochastic disturbances. | Aleksandra Faust, Nick Malone, Lydia Tapia |
| 2013 | ICRA | Learning swing-free trajectories for UAVs with a suspended load. | Aleksandra Faust, Ivana Palunko, Patricio Cruz, Rafael Fierro, Lydia Tapia |
| 2013 | ICRA | A reinforcement learning approach towards autonomous suspended load manipulation using aerial robots. | Ivana Palunko, Aleksandra Faust, Patricio Cruz, Lydia Tapia, Rafael Fierro |