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05/17/2023
The COMMOTIONS Urban Interactions Driving Simulator Study Dataset
Accurate modelling of road user interaction has received lot of attentio...
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09/28/2022
Proceedings of the AI-HRI Symposium at AAAI-FSS 2022
The Artificial Intelligence (AI) for Human-Robot Interaction (HRI) Sympo...
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06/22/2022
Beyond RMSE: Do machine-learned models of road user interaction produce human-like behavior?
Autonomous vehicles use a variety of sensors and machine-learned models ...
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10/21/2021
A Utility Maximization Model of Pedestrian and Driver Interactions
Many models account for the traffic flow of road users but few take the ...
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09/22/2021
AI-HRI 2021 Proceedings
The Artificial Intelligence (AI) for Human-Robot Interaction (HRI) Sympo...
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07/06/2021
Meta-Reinforcement Learning for Heuristic Planning
In Meta-Reinforcement Learning (meta-RL) an agent is trained on a set of...
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04/21/2021
Comparing merging behaviors observed in naturalistic data with behaviors generated by a machine learned model
There is quickly growing literature on machine-learned models that predi...
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11/06/2020
Occlusion-Aware Search for Object Retrieval in Clutter
We address the manipulation task of retrieving a target object from a cl...
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11/02/2020
Information-theoretic Task Selection for Meta-Reinforcement Learning
In Meta-Reinforcement Learning (meta-RL) an agent is trained on a set of...
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10/26/2020
Proceedings of the AI-HRI Symposium at AAAI-FSS 2020
The Artificial Intelligence (AI) for Human-Robot Interaction (HRI) Sympo...
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08/02/2020
Curriculum Learning with a Progression Function
Curriculum Learning for Reinforcement Learning is an increasingly popula...
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03/10/2020
Curriculum Learning for Reinforcement Learning Domains: A Framework and Survey
Reinforcement learning (RL) is a popular paradigm for addressing sequent...
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02/28/2020
Human-like Planning for Reaching in Cluttered Environments
Humans, in comparison to robots, are remarkably adept at reaching for ob...
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02/28/2020
Introducing a Human-like Planner for Reaching in Cluttered Environments
Humans, in comparison to robots, are remarkably adept at reaching for ob...
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09/11/2019
Proceedings of the AI-HRI Symposium at AAAI-FSS 2019
The past few years have seen rapid progress in the development of servic...
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06/17/2019
A gray-box approach for curriculum learning
Curriculum learning is often employed in deep reinforcement learning to ...
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06/13/2019
Curriculum Learning for Cumulative Return Maximization
Curriculum learning has been successfully used in reinforcement learning...
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04/03/2019
Learning Physics-Based Manipulation in Clutter: Combining Image-Based Generalization and Look-Ahead Planning
Physics-based manipulation in clutter involves complex interaction betwe...
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01/31/2019
An Optimization Framework for Task Sequencing in Curriculum Learning
Curriculum learning is gaining popularity in (deep) reinforcement learni...
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03/21/2018
