Search Results - Brennan Shacklett

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  1. 1
    An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation

    An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation by Shacklett, Brennan, Rosenzweig, Luc Guy, Xie, Zhiqiang, Sarkar, Bidipta, Szot, Andrew, Wijmans, Erik, Koltun, Vladlen, Batra, Dhruv, Fatahalian, Kayvon

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  2. 2
    R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs

    R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs by Fouladi, Sadjad, Shacklett, Brennan, Poms, Fait, Arora, Arjun, Ozdemir, Alex, Raghavan, Deepti, Hanrahan, Pat, Fatahalian, Kayvon, Winstein, Keith

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  3. 3
    Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation

    Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation by Khanna, Mukul, Mao, Yongsen, Jiang, Hanxiao, Haresh, Sanjay, Shacklett, Brennan, Batra, Dhruv, Clegg, Alexander, Undersander, Eric, Chang, Angel X., Savva, Manolis

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  4. 4
    GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS

    GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS by Kazemkhani, Saman, Pandya, Aarav, Cornelisse, Daphne, Brennan Shacklett, Vinitsky, Eugene

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  5. 5
    Automated Rewards via LLM-Generated Progress Functions

    Automated Rewards via LLM-Generated Progress Functions by Sarukkai, Vishnu, Brennan Shacklett, Zander Majercik, Bhatia, Kush, Ré, Christopher, Fatahalian, Kayvon

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  6. 6
    Megaverse: Simulating Embodied Agents at One Million Experiences per Second

    Megaverse: Simulating Embodied Agents at One Million Experiences per Second by Petrenko, Aleksei, Wijmans, Erik, Brennan Shacklett, Koltun, Vladlen

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  7. 7
    Learning to Move Like Professional Counter-Strike Players

    Learning to Move Like Professional Counter-Strike Players by Durst, David, Xie, Feng, Sarukkai, Vishnu, Brennan Shacklett, Frosio, Iuri, Tessler, Chen, Kim, Joohwan, Taylor, Carly, Bernstein, Gilbert, Choudhury, Sanjiban, Hanrahan, Pat, Fatahalian, Kayvon

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  8. 8
    Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation

    Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation by Khanna, Mukul, Mao, Yongsen, Jiang, Hanxiao, Haresh, Sanjay, Brennan Shacklett, Batra, Dhruv, Clegg, Alexander, Undersander, Eric, Chang, Angel X, Savva, Manolis

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  9. 9
    Large Batch Simulation for Deep Reinforcement Learning

    Large Batch Simulation for Deep Reinforcement Learning by Brennan Shacklett, Wijmans, Erik, Petrenko, Aleksei, Savva, Manolis, Batra, Dhruv, Koltun, Vladlen, Fatahalian, Kayvon

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