Aleksandra Faust

CoRR, 2024

Geometric-Averaged Preference Optimization for Soft Preference Labels.

[BibT_eX]

[DOI]

CoRR, 2024

Many-Shot In-Context Learning.

[BibT_eX]

[DOI]

Feryal M. P. Behbahani

Ariana M. Villegas-Suarez

Hugo Larochelle

CoRR, 2024

Guided Evolution with Binary Discriminators for ML Program Search.

[BibT_eX]

[DOI]

CoRR, 2024

Position: Levels of AGI for Operationalizing Progress on the Path to AGI.

[BibT_eX]

[DOI]

Meredith Ringel Morris

Jascha Sohl-Dickstein

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Multimodal Web Navigation with Instruction-Finetuned Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Language Model Agents Suffer from Compositional Generalization in Web Automation.

[BibT_eX]

[DOI]

CoRR, 2023

Levels of AGI: Operationalizing Progress on the Path to AGI.

[BibT_eX]

[DOI]

Meredith Ringel Morris

Jascha Sohl-Dickstein

CoRR, 2023

Personality Traits in Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Waymax: An Accelerated, Data-Driven Simulator for Large-Scale Autonomous Driving Research.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Compositional Learning-based Planning for Vision POMDPs.

[BibT_eX]

[DOI]

Proceedings of the Learning for Dynamics and Control Conference, 2023

ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design.

[BibT_eX]

[DOI]

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

Imitation Is Not Enough: Robustifying Imitation with Reinforcement Learning for Challenging Driving Scenarios.

[BibT_eX]

[DOI]

IROS, 2023

Enhancing Value Estimation Policies by Post-Hoc Symmetry Exploitation in Motion Planning Tasks.

[BibT_eX]

[DOI]

Yazied A. Hasan

Evan C. Carter

IROS, 2023

CLUTR: Curriculum Learning via Unsupervised Task Representation Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Understanding HTML with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SayTap: Language to Quadrupedal Locomotion.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

Multi-Agent Reachability Calibration with Conformal Prediction.

[BibT_eX]

[DOI]

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

QuaRL: Quantization for Fast and Environmentally Sustainable Reinforcement Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2022

Automated Reinforcement Learning (AutoRL): A Survey and Open Problems.

[BibT_eX]

[DOI]

J. Artif. Intell. Res., 2022

Multi-Agent Reinforcement Learning for Microprocessor Design Space Exploration.

[BibT_eX]

[DOI]

CoRR, 2022

CLUTR: Curriculum Learning via Unsupervised Task Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-objective evolution for Generalizable Policy Gradient Algorithms.

[BibT_eX]

[DOI]

CoRR, 2022

Fast inference and transfer of compositional task structures for few-shot task generalization.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Automatic Domain-Specific SoC Design for Autonomous Unmanned Aerial Vehicles.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Roofline Model for UAVs: A Bottleneck Analysis Tool for Onboard Compute Characterization of Autonomous Unmanned Aerial Vehicles.

[BibT_eX]

[DOI]

Proceedings of the International IEEE Symposium on Performance Analysis of Systems and Software, 2022

Multi-Task Learning with Sequence-Conditioned Transporter Networks.

[BibT_eX]

[DOI]

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

Less is More: Generating Grounded Navigation Instructions from Landmarks.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Differentiable Architecture Search for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Automated Machine Learning, 2022

Metrics-only Training Neural Network for Switching among an Array of Feedback Controllers for Bicycle Model Navigation.

[BibT_eX]

[DOI]

Marco A. Carmona

Dejan Milutinovic

Proceedings of the American Control Conference, 2022

Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots.

[BibT_eX]

[DOI]

Sabrina M. Neuman

Brian Plancher

Guido C. H. E. de Croon

Vijay Janapa Reddi

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

The Role of Compute in Autonomous Micro Aerial Vehicles: Optimizing for Mission Time and Energy Efficiency.

[BibT_eX]

[DOI]

Behzad Boroujerdian

Hasan Genc

Srivatsan Krishnan

ACM Trans. Comput. Syst., 2021

Gender Diversity of Conference Leadership [Women in Engineering].

[BibT_eX]

[DOI]

IEEE Robotics Autom. Mag., 2021

Visual Navigation Among Humans With Optimal Control as a Supervisor.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Air Learning: a deep reinforcement learning gym for autonomous aerial robot visual navigation.

[BibT_eX]

[DOI]

Mach. Learn., 2021

Fast deep swept volume estimator.

[BibT_eX]

[DOI]

Int. J. Robotics Res., 2021

Visual Learning-based Planning for Continuous High-Dimensional POMDPs.

[BibT_eX]

[DOI]

CoRR, 2021

RL-DARTS: Differentiable Architecture Search for Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Joint Attention for Multi-Agent Coordination and Social Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Adversarial Environment Generation for Learning to Navigate the Web.

[BibT_eX]

[DOI]

CoRR, 2021

Machine Learning-Based Automated Design Space Exploration for Autonomous Aerial Robots.

[BibT_eX]

[DOI]

CoRR, 2021

Neural Collision Clearance Estimator for Batched Motion Planning.

[BibT_eX]

[DOI]

Proceedings of the Algorithmic Foundations of Robotics XIV, 2021

Environment Generation for Zero-Shot Compositional Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Tiny Robot Learning (tinyRL) for Source Seeking on a Nano Quadcopter.

[BibT_eX]

[DOI]

Guido C. H. E. de Croon

Vijay Janapa Reddi

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Avoidance Critical Probabilistic Roadmaps for Motion Planning in Dynamic Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Evolving Reinforcement Learning Algorithms.

[BibT_eX]

[DOI]

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Long-Range Indoor Navigation With PRM-RL.

[BibT_eX]

[DOI]

IEEE Trans. Robotics, 2020

Cooperation without Coordination: Hierarchical Predictive Planning for Decentralized Multiagent Navigation.

[BibT_eX]

[DOI]

CoRR, 2020

The Sky Is Not the Limit: A Visual Performance Model for Cyber-Physical Co-Design in Autonomous Machines.

[BibT_eX]

[DOI]

IEEE Comput. Archit. Lett., 2020

Zero-shot Imitation Learning from Demonstrations for Legged Robot Visual Navigation.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Learned Critical Probabilistic Roadmaps for Robotic Motion Planning.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Model-based Reinforcement Learning for Decentralized Multiagent Rendezvous.

[BibT_eX]

[DOI]

Proceedings of the 4th Conference on Robot Learning, 2020

Safe Policy Learning for Continuous Control.

[BibT_eX]

[DOI]

Yinlam Chow

Ofir Nachum

Edgar A. Duéñez-Guzmán

Mohammad Ghavamzadeh

Proceedings of the 4th Conference on Robot Learning, 2020

2019

RL-RRT: Kinodynamic Motion Planning via Learning Reachability Estimators From RL Policies.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2019

Learning Navigation Behaviors End-to-End With AutoRL.

[BibT_eX]

[DOI]

Marek Fiser

IEEE Robotics Autom. Lett., 2019

Neural Collision Clearance Estimator for Fast Robot Motion Planning.

[BibT_eX]

[DOI]

CoRR, 2019

Quantized Reinforcement Learning (QUARL).

[BibT_eX]

[DOI]

CoRR, 2019

Learning to Seek: Autonomous Source Seeking with Deep Reinforcement Learning Onboard a Nano Drone Microcontroller.

[BibT_eX]

[DOI]

Guido C. H. E. de Croon

Vijay Janapa Reddi

CoRR, 2019

The Role of Compute in Autonomous Aerial Vehicles.

[BibT_eX]

[DOI]

Behzad Boroujerdian

Hasan Genc

Srivatsan Krishnan

CoRR, 2019

Air Learning: An AI Research Platform for Algorithm-Hardware Benchmarking of Autonomous Aerial Robots.

[BibT_eX]

[DOI]

CoRR, 2019

Evolving Rewards to Automate Reinforcement Learning.

[BibT_eX]

[DOI]

Dar Mehta

CoRR, 2019

MAVBench: Micro Aerial Vehicle Benchmarking.

[BibT_eX]

[DOI]

CoRR, 2019

Lyapunov-based Safe Policy Optimization for Continuous Control.

[BibT_eX]

[DOI]

Edgar A. Duéñez-Guzmán

CoRR, 2019

Comparison of Deep Reinforcement Learning Policies to Formal Methods for Moving Obstacle Avoidance.

[BibT_eX]

[DOI]

Arpit Garg

Satomi Sugaya

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Learning to Navigate the Web.

[BibT_eX]

[DOI]

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Getting Involved for a Rewarding Experience [Young Professionals].

[BibT_eX]

[DOI]

Arash Ajoudani

IEEE Robotics Autom. Mag., 2018

PEARL: PrEference Appraisal Reinforcement Learning for Motion Planning.

[BibT_eX]

[DOI]

CoRR, 2018

Learning Navigation Behaviors End to End.

[BibT_eX]

[DOI]

Marek Fiser

CoRR, 2018

MPDCompress - Matrix Permutation Decomposition Algorithm for Deep Neural Network Compression.

[BibT_eX]

[DOI]

CoRR, 2018

Deep Neural Networks for Swept Volume Prediction Between Configurations.

[BibT_eX]

[DOI]

CoRR, 2018

FollowNet: Robot Navigation by Following Natural Language Directions with Deep Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Fast Swept Volume Estimation with Deep Learning.

[BibT_eX]

[DOI]

Satomi Sugaya

Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

MAVBench: Micro Aerial Vehicle Benchmarking.

[BibT_eX]

[DOI]

Proceedings of the 51st Annual IEEE/ACM International Symposium on Microarchitecture, 2018

PRM-RL: Long-range Robotic Navigation Tasks by Combining Reinforcement Learning and Sampling-Based Planning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Resilient Computing with Reinforcement Learning on a Dynamical System: Case Study in Sorting.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Automated aerial suspended cargo delivery through reinforcement learning.

[BibT_eX]

[DOI]

Artif. Intell., 2017

2016

Avoiding moving obstacles with stochastic hybrid dynamics using PEARL: PrEference Appraisal Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Reinforcement learning and planning for preference balancing tasks.

[BibT_eX]

[DOI]

AI Matters, 2015

Preference-balancing motion planning under stochastic disturbances.

[BibT_eX]

[DOI]

Nick Malone