Garrett Warnell

research

∙ 09/18/2023

Wait, That Feels Familiar: Learning to Extrapolate Human Preferences for Preference Aligned Path Planning

Autonomous mobility tasks such as lastmile delivery require reasoning ab...

0 Haresh Karnan, et al. ∙

research

∙ 08/06/2023

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The 2nd BARN Challenge at ICRA 2023

The 2nd BARN (Benchmark Autonomous Robot Navigation) Challenge took plac...

0 Xuesu Xiao, et al. ∙

research

∙ 11/08/2022

ABC: Adversarial Behavioral Cloning for Offline Mode-Seeking Imitation Learning

Given a dataset of expert agent interactions with an environment of inte...

0 Eddy Hudson, et al. ∙

research

∙ 10/26/2022

D-Shape: Demonstration-Shaped Reinforcement Learning via Goal Conditioning

While combining imitation learning (IL) and reinforcement learning (RL) ...

0 Caroline Wang, et al. ∙

research

∙ 09/27/2022

Learning Perceptual Hallucination for Multi-Robot Navigation in Narrow Hallways

While current systems for autonomous robot navigation can produce safe a...

0 Jin Soo Park, et al. ∙

research

∙ 08/22/2022

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons learned from The BARN Challenge at ICRA 2022

The BARN (Benchmark Autonomous Robot Navigation) Challenge took place at...

0 Xuesu Xiao, et al. ∙

research

∙ 06/16/2022

High-Speed Accurate Robot Control using Learned Forward Kinodynamics and Non-linear Least Squares Optimization

Accurate control of robots in the real world requires a control system t...

20 Pranav Atreya, et al. ∙

research

∙ 03/30/2022

VI-IKD: High-Speed Accurate Off-Road Navigation using Learned Visual-Inertial Inverse Kinodynamics

One of the key challenges in high speed off road navigation on ground ve...

8 Haresh Karnan, et al. ∙

research

∙ 03/28/2022

Socially Compliant Navigation Dataset (SCAND): A Large-Scale Dataset of Demonstrations for Social Navigation

Social navigation is the capability of an autonomous agent, such as a ro...

2 Haresh Karnan, et al. ∙

research

∙ 02/01/2022

Adversarial Imitation Learning from Video using a State Observer

The imitation learning research community has recently made significant ...

2 Haresh Karnan, et al. ∙

research

∙ 09/18/2021

Visual Representation Learning for Preference-Aware Path Planning

Autonomous mobile robots deployed in outdoor environments must reason ab...

8 Kavan Singh Sikand, et al. ∙

research

∙ 08/22/2021

APPLE: Adaptive Planner Parameter Learning from Evaluative Feedback

Classical autonomous navigation systems can control robots in a collisio...

0 Zizhao Wang, et al. ∙

research

∙ 07/13/2021

Recent Advances in Leveraging Human Guidance for Sequential Decision-Making Tasks

A longstanding goal of artificial intelligence is to create artificial a...

13 Ruohan Zhang, et al. ∙

research

∙ 05/19/2021

VOILA: Visual-Observation-Only Imitation Learning for Autonomous Navigation

While imitation learning for vision based autonomous mobile robot naviga...

8 Haresh Karnan, et al. ∙

research

∙ 05/17/2021

APPL: Adaptive Planner Parameter Learning

While current autonomous navigation systems allow robots to successfully...

0 Xuesu Xiao, et al. ∙

research

∙ 05/08/2021

RAIL: A modular framework for Reinforcement-learning-based Adversarial Imitation Learning

While Adversarial Imitation Learning (AIL) algorithms have recently led ...

45 Eddy Hudson, et al. ∙

research

∙ 04/15/2021

Skeletal Feature Compensation for Imitation Learning with Embodiment Mismatch

Learning from demonstrations in the wild (e.g. YouTube videos) is a tant...

3 Eddy Hudson, et al. ∙

research

∙ 03/31/2021

DEALIO: Data-Efficient Adversarial Learning for Imitation from Observation

In imitation learning from observation IfO, a learning agent seeks to im...

1 Faraz Torabi, et al. ∙

research

∙ 11/26/2020

Motion Control for Mobile Robot Navigation Using Machine Learning: a Survey

Moving in complex environments is an essential capability of intelligent...

0 Xuesu Xiao, et al. ∙

research

∙ 11/01/2020

APPLI: Adaptive Planner Parameter Learning From Interventions

While classical autonomous navigation systems can typically move robots ...

0 Zizhao Wang, et al. ∙

research

∙ 11/01/2020

APPLR: Adaptive Planner Parameter Learning from Reinforcement

Classical navigation systems typically operate using a fixed set of hand...

0 Zifan Xu, et al. ∙

research

∙ 09/29/2020

Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy

Experience replay (ER) improves the data efficiency of off-policy reinfo...

0 Yunshu Du, et al. ∙

research

∙ 08/04/2020

An Imitation from Observation Approach to Sim-to-Real Transfer

The sim to real transfer problem deals with leveraging large amounts of ...

5 Siddarth Desai, et al. ∙

research

∙ 08/04/2020

Stochastic Grounded Action Transformation for Robot Learning in Simulation

Robot control policies learned in simulation do not often transfer well ...

0 Siddharth Desai, et al. ∙

research

∙ 08/04/2020

Reinforced Grounded Action Transformation for Sim-to-Real Transfer

Robots can learn to do complex tasks in simulation, but often, learned b...

0 Haresh Karnan, et al. ∙

research

∙ 07/28/2020

Toward Agile Maneuvers in Highly Constrained Spaces: Learning from Hallucination

While classical approaches to autonomous robot navigation currently enab...

0 Xuesu Xiao, et al. ∙

research

∙ 03/31/2020

APPLD: Adaptive Planner Parameter Learning from Demonstration

Existing autonomous robot navigation systems allow robots to move from o...

0 Xuesu Xiao, et al. ∙

research

∙ 10/31/2019

A Narration-based Reward Shaping Approach using Grounded Natural Language Commands

While deep reinforcement learning techniques have led to agents that are...

15 Nicholas Waytowich, et al. ∙

research

∙ 06/18/2019

Sample-efficient Adversarial Imitation Learning from Observation

Imitation from observation is the framework of learning tasks by observi...

2 Faraz Torabi, et al. ∙

research

∙ 06/18/2019

RIDM: Reinforced Inverse Dynamics Modeling for Learning from a Single Observed Demonstration

Imitation learning has long been an approach to alleviate the tractabili...

3 Brahma S. Pavse, et al. ∙

research

∙ 05/30/2019

Recent Advances in Imitation Learning from Observation

Imitation learning is the process by which one agent tries to learn how ...

0 Faraz Torabi, et al. ∙

research

∙ 05/22/2019

Imitation Learning from Video by Leveraging Proprioception

Classically, imitation learning algorithms have been developed for ideal...

7 Faraz Torabi, et al. ∙

research

∙ 04/24/2019

Grounding Natural Language Commands to StarCraft II Game States for Narration-Guided Reinforcement Learning

While deep reinforcement learning techniques have led to agents that are...

0 Nicholas Waytowich, et al. ∙

research

∙ 09/15/2018

Deterministic Implementations for Reproducibility in Deep Reinforcement Learning

While deep reinforcement learning (DRL) has led to numerous successes in...

0 prabhatn, et al. ∙

research

∙ 07/17/2018

Generative Adversarial Imitation from Observation

Imitation from observation (IfO) is the problem of learning directly fro...

0 Faraz Torabi, et al. ∙

research

∙ 05/04/2018

Behavioral Cloning from Observation

Humans often learn how to perform tasks via imitation: they observe othe...

0 Faraz Torabi, et al. ∙

research

∙ 09/28/2017

Deep TAMER: Interactive Agent Shaping in High-Dimensional State Spaces

While recent advances in deep reinforcement learning have allowed autono...

0 Garrett Warnell, et al. ∙

research

∙ 05/03/2016

Decentralized Dynamic Discriminative Dictionary Learning

We consider discriminative dictionary learning in a distributed online s...

0 Alec Koppel, et al. ∙

research

∙ 01/03/2014

Adaptive-Rate Compressive Sensing Using Side Information

We provide two novel adaptive-rate compressive sensing (CS) strategies f...

0 Garrett Warnell, et al. ∙

Garrett Warnell

Featured Co-authors