Faraz Torabi | DeepAI

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Featured Co-authors

Peter Stone
126 publications
Garrett Warnell
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Josiah P. Hanna
14 publications
Haresh Karnan
13 publications
Ruohan Zhang
8 publications
Dana H. Ballard
4 publications
Eddy Hudson
3 publications
Brahma S. Pavse
3 publications
Lin Guan
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Sean Geiger
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∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 09/21/2019

Leveraging Human Guidance for Deep Reinforcement Learning Tasks

Reinforcement learning agents can learn to solve sequential decision tas...

24 Ruohan Zhang, et al. ∙

∙ 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. ∙

∙ 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. ∙

∙ 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. ∙

∙ 05/22/2019

Imitation Learning from Video by Leveraging Proprioception

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

7 Faraz Torabi, et al. ∙

∙ 07/17/2018

Generative Adversarial Imitation from Observation

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

0 Faraz Torabi, et al. ∙

∙ 05/04/2018

Behavioral Cloning from Observation

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

0 Faraz Torabi, et al. ∙

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