Brennan Shacklett

15 papers A* 5Misc 1Journal 9
YearRankTypeTitle / Venue / Authors
2025 A* conf
GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS.
ICLR
Saman Kazemkhani, Aarav Pandya, Daphne Cornelisse, Brennan Shacklett, Eugene Vinitsky
2024 J jnl
Automated Rewards via LLM-Generated Progress Functions.
CoRR
Vishnu Sarukkai, Brennan Shacklett, Zander Majercik, Kush Bhatia, Christopher Ré, Kayvon Fatahalian
2024 J jnl
GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS.
CoRR
Saman Kazemkhani, Aarav Pandya, Daphne Cornelisse, Brennan Shacklett, Eugene Vinitsky
2024 A* conf
Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation.
CVPR
Mukul Khanna, Yongsen Mao, Hanxiao Jiang, Sanjay Haresh, Brennan Shacklett, Dhruv Batra, Alexander Clegg, Eric Undersander, Angel X. Chang, Manolis Savva
2024 A* conf
High-Throughput Batch Rendering for Embodied AI.
SIGGRAPH Asia
Luc Guy Rosenzweig, Brennan Shacklett, Warren Xia, Kayvon Fatahalian
2024 J jnl
Learning to Move Like Professional Counter-Strike Players.
Comput. Graph. Forum
David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Louis Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian
2024 J jnl
Learning to Move Like Professional Counter-Strike Players.
CoRR
David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian
2023 J jnl
An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation.
ACM Trans. Graph.
Brennan Shacklett, Luc Guy Rosenzweig, Zhiqiang Xie, Bidipta Sarkar, Andrew Szot, Erik Wijmans, Vladlen Koltun, Dhruv Batra, Kayvon Fatahalian
2023 J jnl
Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation.
CoRR
Mukul Khanna, Yongsen Mao, Hanxiao Jiang, Sanjay Haresh, Brennan Shacklett, Dhruv Batra, Alexander Clegg, Eric Undersander, Angel X. Chang, Manolis Savva
2022 J jnl
R2E2: low-latency path tracing of terabyte-scale scenes using thousands of cloud CPUs.
ACM Trans. Graph.
Sadjad Fouladi, Brennan Shacklett, Fait Poms, Arjun Arora, Alex Ozdemir, Deepti Raghavan, Pat Hanrahan, Kayvon Fatahalian, Keith Winstein
2021 A* conf
Large Batch Simulation for Deep Reinforcement Learning.
ICLR
Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian
2021 J jnl
Large Batch Simulation for Deep Reinforcement Learning.
CoRR
Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian
2021 A* conf
Megaverse: Simulating Embodied Agents at One Million Experiences per Second.
ICML
Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun
2021 J jnl
Megaverse: Simulating Embodied Agents at One Million Experiences per Second.
CoRR
Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun
2017 Misc conf
Encoding, Fast and Slow: Low-Latency Video Processing Using Thousands of Tiny Threads.
NSDI
Sadjad Fouladi, Riad S. Wahby, Brennan Shacklett, Karthikeyan Balasubramaniam, William Zeng, Rahul Bhalerao, Anirudh Sivaraman, George Porter, Keith Winstein