Brennan Shacklett

According to our database, Brennan Shacklett authored at least 10 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Automated Rewards via LLM-Generated Progress Functions.

Vishnu Sarukkai, Brennan Shacklett, Zander Majercik, Kush Bhatia, Christopher Ré, Kayvon Fatahalian

CoRR, 2024

Learning to Move Like Professional Counter-Strike Players.

David Durst, Feng Xie, Vishnu Sarukkai, Brennan Shacklett, Iuri Frosio, Chen Tessler, Joohwan Kim, Carly Taylor, Gilbert Bernstein, Sanjiban Choudhury, Pat Hanrahan, Kayvon Fatahalian

CoRR, 2024

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

Saman Kazemkhani, Aarav Pandya, Daphne Cornelisse, Brennan Shacklett, Eugene Vinitsky

CoRR, 2024

High-Throughput Batch Rendering for Embodied AI.

Luc Guy Rosenzweig, Brennan Shacklett, Warren Xia, Kayvon Fatahalian

Proceedings of the SIGGRAPH Asia 2024 Conference Papers, 2024

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

Mukul Khanna, Yongsen Mao, Hanxiao Jiang, Sanjay Haresh, Brennan Shacklett, Dhruv Batra, Alexander Clegg, Eric Undersander, Angel X. Chang, Manolis Savva

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

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

Brennan Shacklett, Luc Guy Rosenzweig, Zhiqiang Xie, Bidipta Sarkar, Andrew Szot, Erik Wijmans, Vladlen Koltun, Dhruv Batra, Kayvon Fatahalian

ACM Trans. Graph., August, 2023

2022

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

Sadjad Fouladi, Brennan Shacklett, Fait Poms, Arjun Arora, Alex Ozdemir, Deepti Raghavan, Pat Hanrahan, Kayvon Fatahalian, Keith Winstein

ACM Trans. Graph., 2022

2021

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

Aleksei Petrenko, Erik Wijmans, Brennan Shacklett, Vladlen Koltun

Proceedings of the 38th International Conference on Machine Learning, 2021

Large Batch Simulation for Deep Reinforcement Learning.

Brennan Shacklett, Erik Wijmans, Aleksei Petrenko, Manolis Savva, Dhruv Batra, Vladlen Koltun, Kayvon Fatahalian

Proceedings of the 9th International Conference on Learning Representations, 2021

2017

Encoding, Fast and Slow: Low-Latency Video Processing Using Thousands of Tiny Threads.

Sadjad Fouladi, Riad S. Wahby, Brennan Shacklett, Karthikeyan Balasubramaniam, William Zeng, Rahul Bhalerao, Anirudh Sivaraman, George Porter, Keith Winstein

Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation, 2017