Garrett Warnell

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 93

Top Venues

CoRR

ICRA

IROS

IEEE Robotics Autom. Lett.

University of Maryland, College Park, MD, USA (PHD)

Education History

University of Maryland, College Park, MD, USA

PHD

Publications

Haresh Karnan, Elvin Yang, Garrett Warnell, Joydeep Biswas, Peter Stone
Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference-Aligned Path Planning. ICRA (2024)
Xuesu Xiao, Zifan Xu, Aniket Datar, Garrett Warnell, Peter Stone, Joshua Julian Damanik, Jaewon Jung, Chala Adane Deresa, Than Duc Huy, Chen Jinyu, Chen Yichen, Joshua Adrian Cahyono, Jingda Wu, Longfei Mo, Mingyang Lv, Bowen Lan, Qingyang Meng, Weizhi Tao, Li Cheng
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 3rd BARN Challenge at ICRA 2024. CoRR (2024)
Rolando Fernandez, Garrett Warnell, Derrik E. Asher, Peter Stone
Multi-Agent Synchronization Tasks. CoRR (2024)
Haresh Karnan, Elvin Yang, Daniel Farkash, Garrett Warnell, Joydeep Biswas, Peter Stone
Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience. CoRR (2023)
Haresh Karnan, Elvin Yang, Daniel Farkash, Garrett Warnell, Joydeep Biswas, Peter Stone
STERLING: Self-Supervised Terrain Representation Learning from Unconstrained Robot Experience. CoRL (2023)
Haresh Karnan, Elvin Yang, Garrett Warnell, Joydeep Biswas, Peter Stone
Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference Aligned Path Planning. CoRR (2023)
Jin Soo Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, Peter Stone
Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways. ICRA (2023)
Xuesu Xiao, Zifan Xu, Garrett Warnell, Peter Stone, Ferran Gebelli Guinjoan, Rômulo T. Rodrigues, Herman Bruyninckx, Hanjaya Mandala, Guilherme Christmann, José Luis Blanco-Claraco, Shravan Somashekara Rai
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Second BARN Challenge at ICRA 2023 [Competitions]. IEEE Robotics Autom. Mag. 30 (4) (2023)
Caroline Wang, Garrett Warnell, Peter Stone
D-Shape: Demonstration-Shaped Reinforcement Learning via Goal-Conditioning. AAMAS (2023)
Xuesu Xiao, Zifan Xu, Garrett Warnell, Peter Stone, Ferran Gebelli Guinjoan, Rômulo T. Rodrigues, Herman Bruyninckx, Hanjaya Mandala, Guilherme Christmann, José Luis Blanco-Claraco, Shravan Somashekara Rai
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 2nd BARN Challenge at ICRA 2023. CoRR (2023)
Jin Soo Park, Xuesu Xiao, Garrett Warnell, Harel Yedidsion, Peter Stone
Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways. CoRR (2022)
Caroline Wang, Garrett Warnell, Peter Stone
D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning. CoRR (2022)
Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Sören Pirk, Alexander Toshev, Justin W. Hart, Joydeep Biswas, Peter Stone
Socially CompliAnt Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation. IEEE Robotics Autom. Lett. 7 (4) (2022)
Haresh Karnan, Garrett Warnell, Faraz Torabi, Peter Stone
Adversarial Imitation Learning from Video using a State Observer. CoRR (2022)
Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
Motion planning and control for mobile robot navigation using machine learning: a survey. Auton. Robots 46 (5) (2022)
Xuesu Xiao, Zifan Xu, Zizhao Wang, Yunlong Song, Garrett Warnell, Peter Stone, Tingnan Zhang, Shravan Ravi, Gary Wang, Haresh Karnan, Joydeep Biswas, Nicholas Mohammad, Lauren Bramblett, Rahul Peddi, Nicola Bezzo, Zhanteng Xie, Philip M. Dames
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons Learned From the Benchmark Autonomous Robot Navigation Challenge at ICRA 2022 [Competitions]. IEEE Robotics Autom. Mag. 29 (4) (2022)
Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone
APPL: Adaptive Planner Parameter Learning. Robotics Auton. Syst. 154 (2022)
Haresh Karnan, Faraz Torabi, Garrett Warnell, Peter Stone
Adversarial Imitation Learning from Video Using a State Observer. ICRA (2022)
Brian Cesar-Tondreau, Garrett Warnell, Kevin Kochersberger, Nicholas R. Waytowich
Towards Fully Autonomous Negative Obstacle Traversal via Imitation Learning Based Control. Robotics 11 (4) (2022)
Haresh Karnan, Kavan Singh Sikand, Pranav Atreya, Sadegh Rabiee, Xuesu Xiao, Garrett Warnell, Peter Stone, Joydeep Biswas
VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics. CoRR (2022)
Haresh Karnan, Kavan Singh Sikand, Pranav Atreya, Sadegh Rabiee, Xuesu Xiao, Garrett Warnell, Peter Stone, Joydeep Biswas
VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics. IROS (2022)
Haresh Karnan, Garrett Warnell, Xuesu Xiao, Peter Stone
VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation. ICRA (2022)
Yunshu Du, Garrett Warnell, Assefaw H. Gebremedhin, Peter Stone, Matthew E. Taylor
Lucid dreaming for experience replay: refreshing past states with the current policy. Neural Comput. Appl. 34 (3) (2022)
Xuesu Xiao, Zifan Xu, Zizhao Wang, Yunlong Song, Garrett Warnell, Peter Stone, Tingnan Zhang, Shravan Ravi, Gary Wang, Haresh Karnan, Joydeep Biswas, Nicholas Mohammad, Lauren Bramblett, Rahul Peddi, Nicola Bezzo, Zhanteng Xie, Philip M. Dames
Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022. CoRR (2022)
Haresh Karnan, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Sören Pirk, Alexander Toshev, Justin Hart, Joydeep Biswas, Peter Stone
Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation. CoRR (2022)
Pranav Atreya, Haresh Karnan, Kavan Singh Sikand, Xuesu Xiao, Garrett Warnell, Sadegh Rabiee, Peter Stone, Joydeep Biswas
High-Speed Accurate Robot Control using Learned Forward Kinodynamics and Non-linear Least Squares Optimization. CoRR (2022)
Kavan Singh Sikand, Sadegh Rabiee, Adam Uccello, Xuesu Xiao, Garrett Warnell, Joydeep Biswas
Visual Representation Learning for Preference-Aware Path Planning. ICRA (2022)
Eddy Hudson, Garrett Warnell, Faraz Torabi, Peter Stone
Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch. ICRA (2022)
Eddy Hudson, Ishan Durugkar, Garrett Warnell, Peter Stone
ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning. CoRR (2022)
Alec Koppel, Garrett Warnell, Ethan Stump, Peter Stone, Alejandro Ribeiro
Policy Evaluation in Continuous MDPs With Efficient Kernelized Gradient Temporal Difference. IEEE Trans. Autom. Control. 66 (4) (2021)
Xuesu Xiao, Zizhao Wang, Zifan Xu, Bo Liu, Garrett Warnell, Gauraang Dhamankar, Anirudh Nair, Peter Stone
APPL: Adaptive Planner Parameter Learning. CoRR (2021)
Brian Cesar-Tondreau, Garrett Warnell, Ethan Stump, Kevin Kochersberger, Nicholas R. Waytowich
Improving Autonomous Robotic Navigation Using Imitation Learning. Frontiers Robotics AI 8 (2021)
Ruohan Zhang, Faraz Torabi, Garrett Warnell, Peter Stone
Recent advances in leveraging human guidance for sequential decision-making tasks. Auton. Agents Multi Agent Syst. 35 (2) (2021)
Kavan Singh Sikand, Sadegh Rabiee, Adam Uccello, Xuesu Xiao, Garrett Warnell, Joydeep Biswas
Visual Representation Learning for Preference-Aware Path Planning. CoRR (2021)
Eddy Hudson, Garrett Warnell, Faraz Torabi, Peter Stone
Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch. CoRR (2021)
Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
Toward Agile Maneuvers in Highly Constrained Spaces: Learning From Hallucination. IEEE Robotics Autom. Lett. 6 (2) (2021)
Haresh Karnan, Garrett Warnell, Xuesu Xiao, Peter Stone
VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation. CoRR (2021)
Ruohan Zhang, Faraz Torabi, Garrett Warnell, Peter Stone
Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks. CoRR (2021)
Faraz Torabi, Garrett Warnell, Peter Stone
DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation. CoRR (2021)
Eddy Hudson, Garrett Warnell, Peter Stone
RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning. CoRR (2021)
Faraz Torabi, Garrett Warnell, Peter Stone
DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation. IROS (2021)
Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone
APPLR: Adaptive Planner Parameter Learning from Reinforcement. ICRA (2021)
Zizhao Wang, Xuesu Xiao, Garrett Warnell, Peter Stone
APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback. CoRR (2021)
Jason M. Gregory, Garrett Warnell, Jonathan Fink, Satyandra K. Gupta
Improving Trajectory Tracking Accuracy for Faster and Safer Autonomous Navigation of Ground Vehicles in Off-Road Settings. SSRR (2021)
Zizhao Wang, Xuesu Xiao, Garrett Warnell, Peter Stone
APPLE: Adaptive Planner Parameter Learning From Evaluative Feedback. IEEE Robotics Autom. Lett. 6 (4) (2021)
Zifan Xu, Xuesu Xiao, Garrett Warnell, Anirudh Nair, Peter Stone
Machine Learning Methods for Local Motion Planning: A Study of End-to-End vs. Parameter Learning. SSRR (2021)
Yu-Sian Jiang, Garrett Warnell, Peter Stone
Goal Blending for Responsive Shared Autonomy in a Navigating Vehicle. AAAI (2021)
Josiah P. Hanna, Siddharth Desai, Haresh Karnan, Garrett Warnell, Peter Stone
Grounded action transformation for sim-to-real reinforcement learning. Mach. Learn. 110 (9) (2021)
Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
APPLI: Adaptive Planner Parameter Learning From Interventions. ICRA (2021)
Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, Peter Stone
Stochastic Grounded Action Transformation for Robot Learning in Simulation. IROS (2020)
Zifan Xu, Gauraang Dhamankar, Anirudh Nair, Xuesu Xiao, Garrett Warnell, Bo Liu, Zizhao Wang, Peter Stone
APPLR: Adaptive Planner Parameter Learning from Reinforcement. CoRR (2020)
Xuesu Xiao, Bo Liu, Garrett Warnell, Jonathan Fink, Peter Stone
APPLD: Adaptive Planner Parameter Learning From Demonstration. IEEE Robotics Autom. Lett. 5 (3) (2020)
Felipe Leno da Silva, Garrett Warnell, Anna Helena Reali Costa, Peter Stone
Agents teaching agents: a survey on inter-agent transfer learning. Auton. Agents Multi Agent Syst. 34 (1) (2020)
Xuesu Xiao, Bo Liu, Garrett Warnell, Jonathan Fink, Peter Stone
APPLD: Adaptive Planner Parameter Learning from Demonstration. CoRR (2020)
Brahma S. Pavse, Faraz Torabi, Josiah Hanna, Garrett Warnell, Peter Stone
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration. IEEE Robotics Autom. Lett. 5 (4) (2020)
Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination. CoRR (2020)
Yunshu Du, Garrett Warnell, Assefaw Hadish Gebremedhin, Peter Stone, Matthew E. Taylor
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy. CoRR (2020)
Haresh Karnan, Siddharth Desai, Josiah P. Hanna, Garrett Warnell, Peter Stone
Reinforced Grounded Action Transformation for Sim-to-Real Transfer. IROS (2020)
Haresh Karnan, Siddharth Desai, Josiah P. Hanna, Garrett Warnell, Peter Stone
Reinforced Grounded Action Transformation for Sim-to-Real Transfer. CoRR (2020)
Siddharth Desai, Haresh Karnan, Josiah P. Hanna, Garrett Warnell, Peter Stone
Stochastic Grounded Action Transformation for Robot Learning in Simulation. CoRR (2020)
Jin Soo Park, Brian Tsang, Harel Yedidsion, Garrett Warnell, Daehyun Kyoung, Peter Stone
Learning to Improve Multi-Robot Hallway Navigation. CoRL (2020)
Felipe Leno da Silva, Garrett Warnell, Anna Helena Reali Costa, Peter Stone
Agents Teaching Agents: A Survey on Inter-agent Transfer Learning. AAMAS (2020)
Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
Motion Control for Mobile Robot Navigation Using Machine Learning: a Survey. CoRR (2020)
Siddharth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone
An Imitation from Observation Approach to Sim-to-Real Transfer. CoRR (2020)
Siddharth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone
An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch. NeurIPS (2020)
Zizhao Wang, Xuesu Xiao, Bo Liu, Garrett Warnell, Peter Stone
APPLI: Adaptive Planner Parameter Learning From Interventions. CoRR (2020)
Faraz Torabi, Garrett Warnell, Peter Stone
Imitation Learning from Video by Leveraging Proprioception. IJCAI (2019)
Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Garrett Warnell
A Narration-based Reward Shaping Approach using Grounded Natural Language Commands. CoRR (2019)
Faraz Torabi, Sean Geiger, Garrett Warnell, Peter Stone
Sample-efficient Adversarial Imitation Learning from Observation. CoRR (2019)
Faraz Torabi, Garrett Warnell, Peter Stone
Adversarial Imitation Learning from State-only Demonstrations. AAMAS (2019)
Liangzhe Yuan, Christopher M. Reardon, Garrett Warnell, Giuseppe Loianno
Human Gaze-Driven Spatial Tasking of an Autonomous MAV. IEEE Robotics Autom. Lett. 4 (2) (2019)
Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
Parsimonious Online Learning with Kernels via Sparse Projections in Function Space. J. Mach. Learn. Res. 20 (2019)
Faraz Torabi, Garrett Warnell, Peter Stone
Recent Advances in Imitation Learning from Observation. IJCAI (2019)
Brahma S. Pavse, Faraz Torabi, Josiah P. Hanna, Garrett Warnell, Peter Stone
RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration. CoRR (2019)
Faraz Torabi, Garrett Warnell, Peter Stone
Recent Advances in Imitation Learning from Observation. CoRR (2019)
Faraz Torabi, Garrett Warnell, Peter Stone
Imitation Learning from Video by Leveraging Proprioception. CoRR (2019)
Nicholas R. Waytowich, Sean L. Barton, Vernon Lawhern, Ethan Stump, Garrett Warnell
Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning. CoRR (2019)
Yu-Sian Jiang, Garrett Warnell, Eduardo Munera, Peter Stone
A Study of Human-Robot Copilot Systems for En-route Destination Changing. RO-MAN (2018)
Faraz Torabi, Garrett Warnell, Peter Stone
Generative Adversarial Imitation from Observation. CoRR (2018)
Yu-Sian Jiang, Garrett Warnell, Peter Stone
Inferring User Intention using Gaze in Vehicles. ICMI (2018)
Faraz Torabi, Garrett Warnell, Peter Stone
Behavioral Cloning from Observation. CoRR (2018)
Yu-Sian Jiang, Garrett Warnell, Peter Stone
DIPD: Gaze-Based Intention Inference in Dynamic Environments. AAAI Workshops (2018)
Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. AAAI (2018)
Prabhat Nagarajan, Garrett Warnell, Peter Stone
Deterministic Implementations for Reproducibility in Deep Reinforcement Learning. CoRR (2018)
Faraz Torabi, Garrett Warnell, Peter Stone
Behavioral Cloning from Observation. IJCAI (2018)
Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
D4L: Decentralized Dynamic Discriminative Dictionary Learning. IEEE Trans. Signal Inf. Process. over Networks 3 (4) (2017)
Garrett Warnell, Nicholas R. Waytowich, Vernon Lawhern, Peter Stone
Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces. CoRR (2017)
Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
Parsimonious Online Learning with Kernels via sparse projections in function space. ICASSP (2017)
Alec Koppel, Jonathan Fink, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
Online learning for characterizing unknown environments in ground robotic vehicle models. IROS (2016)
Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
Parsimonious Online Learning with Kernels via Sparse Projections in Function Space. CoRR (2016)
Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
Decentralized Dynamic Discriminative Dictionary Learning. CoRR (2016)
Gordon A. Christie, Garrett Warnell, Kevin Kochersberger
Semantics for UGV Registration in GPS-denied Environments. CoRR (2016)
Alec Koppel, Garrett Warnell, Ethan Stump, Alejandro Ribeiro
D4L: Decentralized dynamic discriminative dictionary learning. IROS (2015)

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Publication Activity (10 Years)

Top Topics

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Garrett Warnell