Learning swing-free trajectories for UAVs with a suspended load. - Aleksandra Faust; Ivana Palunko; Patricio Cruz; Rafael Fierro; Lydia Tapia (ICRA, 2013)

A reinforcement learning approach towards autonomous suspended load manipulation using aerial robots. - Ivana Palunko; Aleksandra Faust; Patricio Cruz; Lydia Tapia; Rafael Fierro (ICRA, 2013)

Preference-balancing motion planning under stochastic disturbances. - Aleksandra Faust; Nick Malone; Lydia Tapia (ICRA, 2015)

Reinforcement learning and planning for preference balancing tasks. - Aleksandra Faust (AI Matters, 2015)

Avoiding moving obstacles with stochastic hybrid dynamics using PEARL: PrEference Appraisal Reinforcement Learning. - Aleksandra Faust; Hao-Tien Chiang; Nathanael Rackley; Lydia Tapia (ICRA, 2016)

Automated aerial suspended cargo delivery through reinforcement learning. - Aleksandra Faust; Ivana Palunko; Patricio Cruz; Rafael Fierro; Lydia Tapia (Artif. Intell., 2017)

Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting. - Aleksandra Faust; James B. Aimone; Conrad D. James; Lydia Tapia (CDC, 2018)

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 (ICRA, 2018)

MAVBench: Micro Aerial Vehicle Benchmarking. - Behzad Boroujerdian; Hasan Genc; Srivatsan Krishnan; Wenzhi Cui; Aleksandra Faust; Vijay Janapa Reddi (MICRO, 2018)

Fast Swept Volume Estimation with Deep Learning. - Hao-Tien Lewis Chiang; Aleksandra Faust; Satomi Sugaya; Lydia Tapia (WAFR, 2018)

FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning. - Pararth Shah; Marek Fiser; Aleksandra Faust; J. Chase Kew; Dilek Hakkani-Tür (CoRR, 2018)

Deep Neural Networks for Swept Volume Prediction Between Configurations. - Hao-Tien Lewis Chiang; Aleksandra Faust; Lydia Tapia (CoRR, 2018)

MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression. - Lazar Supic; Rawan Naous; Ranko Sredojevic; Aleksandra Faust; Vladimir Stojanovic (CoRR, 2018)

Learning Navigation Behaviors End to End. - Hao-Tien Lewis Chiang; Aleksandra Faust; Marek Fiser; Anthony G. Francis (CoRR, 2018)

PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning. - Aleksandra Faust; Hao-Tien Lewis Chiang; Lydia Tapia (CoRR, 2018)

Getting Involved for a Rewarding Experience [Young Professionals]. - Arash Ajoudani; Aleksandra Faust (IEEE Robotics Autom. Mag., 2018)

Learning to Navigate the Web. - Izzeddin Gur; Ulrich Rückert 003; Aleksandra Faust; Dilek Hakkani-Tür (ICLR (Poster), 2019)

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 (IROS, 2019)

Lyapunov-based Safe Policy Optimization for Continuous Control. - Yinlam Chow; Ofir Nachum; Aleksandra Faust; Mohammad Ghavamzadeh; Edgar A. Duéñez-Guzmán (CoRR, 2019)

MAVBench: Micro Aerial Vehicle Benchmarking. - Behzad Boroujerdian; Hasan Genc; Srivatsan Krishnan; Wenzhi Cui; Marcelino Almeida; Kayvan Mansoorshahi; Aleksandra Faust; Vijay Janapa Reddi (CoRR, 2019)

Evolving Rewards to Automate Reinforcement Learning. - Aleksandra Faust; Anthony G. Francis; Dar Mehta (CoRR, 2019)

Air Learning: An AI Research Platform for Algorithm-Hardware Benchmarking of Autonomous Aerial Robots. - Srivatsan Krishnan; Behzad Boroujerdian; William Fu; Aleksandra Faust; Vijay Janapa Reddi (CoRR, 2019)

The Role of Compute in Autonomous Aerial Vehicles. - Behzad Boroujerdian; Hasan Genc; Srivatsan Krishnan; Bardienus Pieter Duisterhof; Brian Plancher; Kayvan Mansoorshahi; Marcelino Almeida; Wenzhi Cui; Aleksandra Faust; Vijay Janapa Reddi (CoRR, 2019)

Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller. - Bardienus Pieter Duisterhof; Srivatsan Krishnan; Jonathan J. Cruz; Colby R. Banbury; William Fu; Aleksandra Faust; Guido C. H. E. de Croon; Vijay Janapa Reddi (CoRR, 2019)

Quantized Reinforcement Learning (QUARL). - Srivatsan Krishnan; Sharad Chitlangia; Maximilian Lam; Zishen Wan; Aleksandra Faust; Vijay Janapa Reddi (CoRR, 2019)

Neural Collision Clearance Estimator for Fast Robot Motion Planning. - J. Chase Kew; Brian Ichter; Maryam Bandari; Tsang-Wei Edward Lee; Aleksandra Faust (CoRR, 2019)

Learning Navigation Behaviors End-to-End With AutoRL. - Hao-Tien Lewis Chiang; Aleksandra Faust; Marek Fiser; Anthony G. Francis (IEEE Robotics Autom. Lett., 2019)

RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators From RL Policies. - Hao-Tien Lewis Chiang; Jasmine Hsu; Marek Fiser; Lydia Tapia; Aleksandra Faust (IEEE Robotics Autom. Lett., 2019)

Safe Policy Learning for Continuous Control. - Yinlam Chow; Ofir Nachum; Aleksandra Faust; Edgar A. Duéñez-Guzmán; Mohammad Ghavamzadeh (CoRL, 2020)

Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous. - Rose E. Wang; J. Chase Kew; Dennis Lee 003; Tsang-Wei Edward Lee; Tingnan Zhang; Brian Ichter; Jie Tan 001; Aleksandra Faust (CoRL, 2020)

Learned Critical Probabilistic Roadmaps for Robotic Motion Planning. - Brian Ichter; Edward Schmerling; Tsang-Wei Edward Lee; Aleksandra Faust (ICRA, 2020)

Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation. - Xinlei Pan; Tingnan Zhang; Brian Ichter; Aleksandra Faust; Jie Tan 001; Sehoon Ha (ICRA, 2020)

The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines. - Srivatsan Krishnan; Zishen Wan; Kshitij Bhardwaj; Paul N. Whatmough; Aleksandra Faust; Gu-Yeon Wei; David Brooks 001; Vijay Janapa Reddi (IEEE Comput. Archit. Lett., 2020)

Cooperation without Coordination: Hierarchical Predictive Planning for Decentralized Multiagent Navigation. - Rose E. Wang; J. Chase Kew; Dennis Lee 003; Tsang-Wei Edward Lee; Tingnan Zhang; Brian Ichter; Jie Tan 001; Aleksandra Faust (CoRR, 2020)

Long-Range Indoor Navigation With PRM-RL. - Anthony G. Francis; Aleksandra Faust; Hao-Tien Lewis Chiang; Jasmine Hsu; J. Chase Kew; Marek Fiser; Tsang-Wei Edward Lee (IEEE Trans. Robotics, 2020)

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

Avoidance Critical Probabilistic Roadmaps for Motion Planning in Dynamic Environments. - Felipe Felix Arias; Brian Ichter; Aleksandra Faust; Nancy M. Amato (ICRA, 2021)

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 (ICRA, 2021)

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

Neural Collision Clearance Estimator for Batched Motion Planning. - J. Chase Kew; Brian Ichter; Maryam Bandari; Tsang-Wei Edward Lee; Aleksandra Faust (WAFR, 2021)

Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots. - Srivatsan Krishnan; Zishen Wan; Kshitij Bhardwaj; Paul N. Whatmough; Aleksandra Faust; Sabrina M. Neuman; Gu-Yeon Wei; David Brooks 001; Vijay Janapa Reddi (CoRR, 2021)

Adversarial Environment Generation for Learning to Navigate the Web. - Izzeddin Gur; Natasha Jaques; Kevin Malta; Manoj Tiwari; Honglak Lee; Aleksandra Faust (CoRR, 2021)

Joint Attention for Multi-Agent Coordination and Social Learning. - Dennis Lee 003; Natasha Jaques; J. Chase Kew; Douglas Eck; Dale Schuurmans; Aleksandra Faust (CoRR, 2021)

RL-DARTS: Differentiable Architecture Search for Reinforcement Learning. - Yingjie Miao; Xingyou Song; Daiyi Peng; Summer Yue; Eugene Brevdo; Aleksandra Faust (CoRR, 2021)

Visual Learning-based Planning for Continuous High-Dimensional POMDPs. - Sampada Deglurkar; Michael H. Lim; Johnathan Tucker; Zachary N. Sunberg; Aleksandra Faust; Claire J. Tomlin (CoRR, 2021)

Fast deep swept volume estimator. - Hao-Tien Lewis Chiang; John E. G. Baxter; Satomi Sugaya; Mohammad R. Yousefi; Aleksandra Faust; Lydia Tapia (Int. J. Robotics Res., 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 (Mach. Learn., 2021)

Visual Navigation Among Humans With Optimal Control as a Supervisor. - Varun Tolani; Somil Bansal; Aleksandra Faust; Claire J. Tomlin (IEEE Robotics Autom. Lett., 2021)

Gender Diversity of Conference Leadership [Women in Engineering]. - Laura Graesser; Aleksandra Faust; Hadas Kress-Gazit; Lydia Tapia; Risa Ulinski (IEEE Robotics Autom. Mag., 2021)

The Role of Compute in Autonomous Micro Aerial Vehicles: Optimizing for Mission Time and Energy Efficiency. - Behzad Boroujerdian; Hasan Genc; Srivatsan Krishnan; Bardienus Pieter Duisterhof; Brian Plancher; Kayvan Mansoorshahi; Marcelino Almeida; Wenzhi Cui; Aleksandra Faust; Vijay Janapa Reddi (ACM Trans. Comput. Syst., 2021)

Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. - Sabrina M. Neuman; Brian Plancher; Bardienus Pieter Duisterhof; Srivatsan Krishnan; Colby R. Banbury; Mark Mazumder; Shvetank Prakash; Jason Jabbour; Aleksandra Faust; Guido C. H. E. de Croon; Vijay Janapa Reddi (AICAS, 2022)

Metrics-only Training Neural Network for Switching among an Array of Feedback Controllers for Bicycle Model Navigation. - Marco A. Carmona; Dejan Milutinovic; Aleksandra Faust (ACC, 2022)

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

Less is More: Generating Grounded Navigation Instructions from Landmarks. - Su Wang 001; Ceslee Montgomery; Jordi Orbay; Vighnesh Birodkar; Aleksandra Faust; Izzeddin Gur; Natasha Jaques; Austin Waters; Jason Baldridge; Peter Anderson (CVPR, 2022)

Multi-Task Learning with Sequence-Conditioned Transporter Networks. - Michael H. Lim; Andy Zeng 001; Brian Ichter; Maryam Bandari; Erwin Coumans; Claire J. Tomlin; Stefan Schaal; Aleksandra Faust (ICRA, 2022)

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 (ISPASS, 2022)

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 001; Vijay Janapa Reddi (MICRO, 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 (UAI, 2022)

Multi-objective evolution for Generalizable Policy Gradient Algorithms. - Juan Jose Garau Luis; Yingjie Miao; John D. Co-Reyes; Aaron Parisi; Jie Tan 001; Esteban Real; Aleksandra Faust (CoRR, 2022)

CLUTR: Curriculum Learning via Unsupervised Task Representation Learning. - Abdus Salam Azad; Izzeddin Gur; Aleksandra Faust; Pieter Abbeel; Ion Stoica (CoRR, 2022)

Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration. - Srivatsan Krishnan; Natasha Jaques; Shayegan Omidshafiei; Dan Zhang; Izzeddin Gur; Vijay Janapa Reddi; Aleksandra Faust (CoRR, 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 (J. Artif. Intell. Res., 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 (Trans. Mach. Learn. Res., 2022)

Multi-Agent Reachability Calibration with Conformal Prediction. - Anish Muthali; Haotian Shen; Sampada Deglurkar; Michael H. Lim; Rebecca Roelofs; Aleksandra Faust; Claire J. Tomlin (CDC, 2023)

SayTap: Language to Quadrupedal Locomotion. - Yujin Tang; Wenhao Yu 003; Jie Tan 001; Heiga Zen; Aleksandra Faust; Tatsuya Harada (CoRL, 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 (EMNLP (Findings), 2023)

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

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 (IROS, 2023)

Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios. - Yiren Lu 001; Justin Fu; George Tucker; Xinlei Pan; Eli Bronstein; Rebecca Roelofs; Benjamin Sapp; Brandyn White; Aleksandra Faust; Shimon Whiteson; Dragomir Anguelov; Sergey Levine (IROS, 2023)

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 (ISCA, 2023)

Compositional Learning-based Planning for Vision POMDPs. - Sampada Deglurkar; Michael H. Lim; Johnathan Tucker; Zachary N. Sunberg; Aleksandra Faust; Claire J. Tomlin (L4DC, 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 001; Jean Harb; Xinlei Pan; Yan Wang 051; Xiangyu Chen 007; John D. Co-Reyes; Rishabh Agarwal; et al. (NeurIPS, 2023)

Personality Traits in Large Language Models. - Mustafa Safdari; Greg Serapio-García; Clément Crepy; Stephen Fitz; Peter Romero; Luning Sun; Marwa Abdulhai; Aleksandra Faust; Maja J. Mataric (CoRR, 2023)

Levels of AGI: Operationalizing Progress on the Path to AGI. - Meredith Ringel Morris; Jascha Sohl-Dickstein; Noah Fiedel; Tris Warkentin; Allan Dafoe; Aleksandra Faust; Clément Farabet; Shane Legg (CoRR, 2023)

Language Model Agents Suffer from Compositional Generalization in Web Automation. - Hiroki Furuta; Yutaka Matsuo; Aleksandra Faust; Izzeddin Gur (CoRR, 2023)

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

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL. - Jesse Farebrother; Jordi Orbay; Quan Vuong; Adrien Ali Taïga; Yevgen Chebotar; Ted Xiao; Alex Irpan; Sergey Levine; Pablo Samuel Castro; Aleksandra Faust; Aviral Kumar; Rishabh Agarwal (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; Clément Farabet; Shane Legg (ICML, 2024)

Many-Shot In-Context Learning. - Rishabh Agarwal; Avi Singh; Lei Zhang; Bernd Bohnet; Luis Rosias; Stephanie C. Y. Chan; Biao Zhang; Ankesh Anand; Zaheer Abbas; Azade Nova; John D. Co-Reyes; Eric Chu; et al. (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)

Guided Evolution with Binary Discriminators for ML Program Search. - John D. Co-Reyes; Yingjie Miao; George Tucker; Aleksandra Faust; Esteban Real (CoRR, 2024)

Many-Shot In-Context Learning. - Rishabh Agarwal; Avi Singh; Lei M. Zhang; Bernd Bohnet; Stephanie Chan 003; Ankesh Anand; Zaheer Abbas; Azade Nova; John D. Co-Reyes; Eric Chu; Feryal M. P. Behbahani; Aleksandra Faust; et al. (CoRR, 2024)

Improving Dynamic Object Interactions in Text-to-Video Generation with AI Feedback. - Hiroki Furuta; Heiga Zen; Dale Schuurmans; Aleksandra Faust; Yutaka Matsuo; Percy Liang; Sherry Yang 001 (CoRR, 2024)

Exposing Limitations of Language Model Agents in Sequential-Task Compositions on the Web. - Hiroki Furuta; Yutaka Matsuo; Aleksandra Faust; Izzeddin Gur (Trans. Mach. Learn. Res., 2024)

Inference-Aware Fine-Tuning for Best-of-N Sampling in Large Language Models. - Yinlam Chow; Guy Tennenholtz; Izzeddin Gur; Vincent Zhuang; Bo Dai 001; 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; et al. (ICLR, 2025)

ElasticTok: Adaptive Tokenization for Image and Video. - Wilson Yan; Volodymyr Mnih; Aleksandra Faust; Matei Zaharia; Pieter Abbeel; Hao Liu 055 (ICLR, 2025)

A2Perf: Real-World Autonomous Agents Benchmark. - Ikechukwu Uchendu; Jason Jabbour; Korneel Van den Berghe; Joel Runevic; Matthew Stewart; Jeffrey Ma; Srivatsan Krishnan; Izzeddin Gur; Austin Huang; Colton Bishop; Paige Bailey; Wenjie Jiang 001; et al. (CoRR, 2025)

Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping. - Srivatsan Krishnan; Jason Jabbour; Dan Zhang; Natasha Jaques; Aleksandra Faust; Shayegan Omidshafiei; Vijay Janapa Reddi (CoRR, 2025)