Faust, Aleksandra

39 publications

ICLR 2025 ElasticTok: Adaptive Tokenization for Image and Video Wilson Yan, Volodymyr Mnih, Aleksandra Faust, Matei Zaharia, Pieter Abbeel, Hao Liu

ICLR 2025 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

ICLR 2025 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 Behbahani, Aleksandra Faust

ICLR 2024 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

TMLR 2024 Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web Hiroki Furuta, Yutaka Matsuo, Aleksandra Faust, Izzeddin Gur

ICLRW 2024 Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web Hiroki Furuta, Yutaka Matsuo, Aleksandra Faust, Izzeddin Gur

NeurIPS 2024 Geometric-Averaged Preference Optimization for Soft Preference Labels Hiroki Furuta, Kuang-Huei Lee, Shixiang Shane Gu, Yutaka Matsuo, Aleksandra Faust, Heiga Zen, Izzeddin Gur

NeurIPS 2024 Many-Shot In-Context Learning Rishabh Agarwal, Avi Singh, Lei Zhang, Bernd Bohnet, Luis Rosias, Stephanie Chan, Biao Zhang, Ankesh Anand, Zaheer Abbas, Azade Nova, John D. Co-Reyes, Eric Chu, Feryal Behbahani, Aleksandra Faust, Hugo Larochelle

ICMLW 2024 Many-Shot In-Context Learning Rishabh Agarwal, Avi Singh, Lei M Zhang, Bernd Bohnet, Luis Rosias, Stephanie C.Y. Chan, Biao Zhang, Aleksandra Faust, Hugo Larochelle

ICMLW 2024 Many-Shot In-Context Learning Rishabh Agarwal, Avi Singh, Lei M Zhang, Bernd Bohnet, Luis Rosias, Stephanie C.Y. Chan, Biao Zhang, Ankesh Anand, Zaheer Abbas, Azade Nova, John D Co-Reyes, Eric Chu, Feryal Behbahani, Aleksandra Faust, Hugo Larochelle

ICLR 2024 Multimodal Web Navigation with Instruction-Finetuned Foundation Models Hiroki Furuta, Kuang-Huei Lee, Ofir Nachum, Yutaka Matsuo, Aleksandra Faust, Shixiang Shane Gu, Izzeddin Gur

ICML 2024 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, Clement Farabet, Shane Legg

ICML 2024 Stop Regressing: Training Value Functions via Classification for Scalable Deep RL Jesse Farebrother, Jordi Orbay, Quan Vuong, Adrien Ali Taiga, Yevgen Chebotar, Ted Xiao, Alex Irpan, Sergey Levine, Pablo Samuel Castro, Aleksandra Faust, Aviral Kumar, Rishabh Agarwal

ICML 2023 CLUTR: Curriculum Learning via Unsupervised Task Representation Learning Abdus Salam Azad, Izzeddin Gur, Jasper Emhoff, Nathaniel Alexis, Aleksandra Faust, Pieter Abbeel, Ion Stoica

L4DC 2023 Compositional Learning-Based Planning for Vision POMDPs Sampada Deglurkar, Michael H Lim, Johnathan Tucker, Zachary N Sunberg, Aleksandra Faust, Claire Tomlin

ICMLW 2023 Guided Evolution with Binary Predictors for ML Program Search John D Co-Reyes, Yingjie Miao, George Tucker, Aleksandra Faust, Esteban Real

NeurIPSW 2023 Language Model Agents Suffer from Compositional Generalization in Web Automation Hiroki Furuta, Yutaka Matsuo, Aleksandra Faust, Izzeddin Gur

CoRL 2023 SayTap: Language to Quadrupedal Locomotion Yujin Tang, Wenhao Yu, Jie Tan, Heiga Zen, Aleksandra Faust, Tatsuya Harada

NeurIPSW 2023 Scaling Offline Q-Learning with Vision Transformers Yingjie Miao, Jordi Orbay, Rishabh Agarwal, Aviral Kumar, George Tucker, Aleksandra Faust

ICLRW 2023 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

NeurIPS 2023 Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research Cole Gulino, Justin Fu, Wenjie Luo, George Tucker, Eli Bronstein, Yiren Lu, Jean Harb, Xinlei Pan, Yan Wang, Xiangyu Chen, John Co-Reyes, Rishabh Agarwal, Rebecca Roelofs, Yao Lu, Nico Montali, Paul Mougin, Zoey Yang, Brandyn White, Aleksandra Faust, Rowan McAllister, Dragomir Anguelov, Benjamin Sapp

JAIR 2022 Automated Reinforcement Learning (AutoRL): A Survey and Open Problems Jack Parker-Holder, Raghu Rajan, Xingyou Song, André Biedenkapp, Yingjie Miao, Theresa Eimer, Baohe Zhang, Vu Nguyen, Roberto Calandra, Aleksandra Faust, Frank Hutter, Marius Lindauer

NeurIPSW 2022 CLUTR: Curriculum Learning via Unsupervised Task Representation Learning Abdus Salam Azad, Izzeddin Gur, Aleksandra Faust, Pieter Abbeel, Ion Stoica

NeurIPSW 2022 CLUTR: Curriculum Learning via Unsupervised Task Representation Learning Abdus Salam Azad, Izzeddin Gur, Aleksandra Faust, Pieter Abbeel, Ion Stoica

AutoML 2022 Differentiable Architecture Search for Reinforcement Learning Yingjie Miao, Xingyou Song, John D Co-Reyes, Daiyi Peng, Summer Yue, Eugene Brevdo, Aleksandra Faust

UAI 2022 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

CVPR 2022 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

ICLRW 2022 Multi-Objective Evolution for Generalizable Policy Gradient Algorithms Juan Jose Garau-Luis, Yingjie Miao, John D Co-Reyes, Aaron Parisi, Jie Tan, Esteban Real, Aleksandra Faust

TMLR 2022 QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning Srivatsan Krishnan, Max Lam, Sharad Chitlangia, Zishen Wan, Gabriel Barth-maron, Aleksandra Faust, Vijay Janapa Reddi

MLJ 2021 Air Learning: A Deep Reinforcement Learning Gym for Autonomous Aerial Robot Visual Navigation Srivatsan Krishnan, Behzad Boroujerdian, William Fu, Aleksandra Faust, Vijay Janapa Reddi

NeurIPS 2021 Environment Generation for Zero-Shot Compositional Reinforcement Learning Izzeddin Gur, Natasha Jaques, Yingjie Miao, Jongwook Choi, Manoj Tiwari, Honglak Lee, Aleksandra Faust

ICLR 2021 Evolving Reinforcement Learning Algorithms John D Co-Reyes, Yingjie Miao, Daiyi Peng, Esteban Real, Quoc V Le, Sergey Levine, Honglak Lee, Aleksandra Faust

NeurIPSW 2021 Fast Inference and Transfer of Compositional Task for Few-Shot Task Generalization Sungryull Sohn, Hyunjae Woo, Jongwook Choi, Lyubing Qiang, Izzeddin Gur, Aleksandra Faust, Honglak Lee

ICMLW 2021 SparseDice: Imitation Learning for Temporally Sparse Data via Regularization Alberto Camacho, Izzeddin Gur, Marcin Lukasz Moczulski, Ofir Nachum, Aleksandra Faust

NeurIPSW 2021 Targeted Environment Design from Offline Data Izzeddin Gur, Ofir Nachum, Aleksandra Faust

CoRL 2020 Model-Based Reinforcement Learning for Decentralized Multiagent Rendezvous Rose Wang, J. Chase Kew, Dennis Lee, Tsang-Wei Lee, Tingnan Zhang, Brian Ichter, Jie Tan, Aleksandra Faust

CoRL 2020 Safe Policy Learning for Continuous Control Yinlam Chow, Ofir Nachum, Aleksandra Faust, Edgar Dueñez-Guzman, Mohammad Ghavamzadeh

ICLR 2019 Learning to Navigate the Web Izzeddin Gur, Ulrich Rueckert, Aleksandra Faust, Dilek Hakkani-Tur

ICMLW 2019 Lyapunov-Based Safe Policy Optimization for Continuous Control Yinlam Chow, Ofir Nachum, Aleksandra Faust, Edgar Duenez-Guzman, Mohammad Ghavamzadeh