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[RE] MEDIRL Maximum Entropy Deep Inverse Reinforcement Learning for Human Social Navigation #79

Open nihalgunu opened 6 months ago

nihalgunu commented 6 months ago

Original article: Learning How Pedestrians Navigate: A Deep Inverse Reinforcement Learning Approach https://par.nsf.gov/servlets/purl/10111828

PDF URL:
https://drive.google.com/file/d/1Ud4husXegrcooQWrjyjaH6UPsevW_7Su/view

Metadata URL:
https://docs.google.com/document/d/1jJngE8_9QGPyu3Q6PxKqrhVrpmbVvS5FblQiwc2DgSs/edit?usp=sharing

Code URL:
https://dagshub.com/ML-Purdue/hackathonf23-Stacks

Scientific domain: Data-Driven Approach to Human Social Navigation, Human-Robot Interaction within Navigation, Deep Inverse Reinforcement Learning Programming language:
Python Suggested editor:

rougier commented 6 months ago

Thanks for your sublmission, we'll assign an editor soon. @koustuvsinha or @gdetor Can you handle this submission?

vingupta22 commented 5 months ago

Hey @rougier, I'm the co-author of this paper, is there any update for the review?

rougier commented 4 months ago

@vingupta22 Sorry for delay. No update so far. @koustuvsinha or @gdetor, can you handle this submission?