GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS
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Year of Publication 02.08.2024
Year of Publication 02.08.2024
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Year of Publication 11.10.2024
Year of Publication 11.10.2024
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Petrenko, Aleksei, Wijmans, Erik, Shacklett, Brennan, Koltun, Vladlen
Year of Publication 16.07.2021
Year of Publication 16.07.2021
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Learning to Move Like Professional Counter-Strike Players
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Year of Publication 25.08.2024
Year of Publication 25.08.2024
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Journal Article
Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation
Khanna, Mukul, Mao, Yongsen, Jiang, Hanxiao, Haresh, Sanjay, Shacklett, Brennan, Batra, Dhruv, Clegg, Alexander, Undersander, Eric, Chang, Angel X., Savva, Manolis
Published in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (16.06.2024)
Published in 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (16.06.2024)
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Conference Proceeding
Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation
Khanna, Mukul, Mao, Yongsen, Jiang, Hanxiao, Haresh, Sanjay, Shacklett, Brennan, Batra, Dhruv, Clegg, Alexander, Undersander, Eric, Chang, Angel X, Savva, Manolis
Year of Publication 20.06.2023
Year of Publication 20.06.2023
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Journal Article
Large Batch Simulation for Deep Reinforcement Learning
Shacklett, Brennan, Wijmans, Erik, Petrenko, Aleksei, Savva, Manolis, Batra, Dhruv, Koltun, Vladlen, Fatahalian, Kayvon
Year of Publication 11.03.2021
Year of Publication 11.03.2021
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Journal Article
Automated Rewards via LLM-Generated Progress Functions
Sarukkai, Vishnu, Brennan Shacklett, Zander Majercik, Bhatia, Kush, Ré, Christopher, Fatahalian, Kayvon
Published in arXiv.org (11.10.2024)
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Published in arXiv.org (11.10.2024)
Paper
Megaverse: Simulating Embodied Agents at One Million Experiences per Second
Petrenko, Aleksei, Wijmans, Erik, Brennan Shacklett, Koltun, Vladlen
Published in arXiv.org (21.07.2021)
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Published in arXiv.org (21.07.2021)
Paper
Learning to Move Like Professional Counter-Strike Players
Durst, David, Xie, Feng, Sarukkai, Vishnu, Brennan Shacklett, Frosio, Iuri, Tessler, Chen, Kim, Joohwan, Taylor, Carly, Bernstein, Gilbert, Choudhury, Sanjiban, Hanrahan, Pat, Fatahalian, Kayvon
Published in arXiv.org (25.08.2024)
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Published in arXiv.org (25.08.2024)
Paper
Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation
Khanna, Mukul, Mao, Yongsen, Jiang, Hanxiao, Haresh, Sanjay, Brennan Shacklett, Batra, Dhruv, Clegg, Alexander, Undersander, Eric, Chang, Angel X, Savva, Manolis
Published in arXiv.org (08.12.2023)
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Published in arXiv.org (08.12.2023)
Paper
Large Batch Simulation for Deep Reinforcement Learning
Brennan Shacklett, Wijmans, Erik, Petrenko, Aleksei, Savva, Manolis, Batra, Dhruv, Koltun, Vladlen, Fatahalian, Kayvon
Published in arXiv.org (12.03.2021)
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Published in arXiv.org (12.03.2021)
Paper