Blake Wulfe

According to our database, Blake Wulfe authored at least 11 papers between 2018 and 2024.

Collaborative distances:

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

2024

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset.

Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha, Arhan Jain, Abraham Lee, Youngwoon Lee, Marius Memmel, Sungjae Park, Ilija Radosavovic, Kaiyuan Wang, Albert Zhan, Kevin Black, Cheng Chi, Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, et al.

CoRR, 2024

2023

Modeling Human Driving Behavior Through Generative Adversarial Imitation Learning.

Raunak P. Bhattacharyya, Blake Wulfe, Derek J. Phillips, Alex Kuefler, Jeremy Morton, Ransalu Senanayake, Mykel J. Kochenderfer

IEEE Trans. Intell. Transp. Syst., March, 2023

2022

Dynamics-Aware Comparison of Learned Reward Functions.

Blake Wulfe, Ashwin Balakrishna, Logan Ellis, Jean Mercat, Rowan McAllister, Adrien Gaidon

CoRR, 2022

Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty.

Boris Ivanovic, Kuan-Hui Lee, Pavel Tokmakov, Blake Wulfe, Rowan McAllister, Adrien Gaidon, Marco Pavone

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Control-Aware Prediction Objectives for Autonomous Driving.

Rowan McAllister, Blake Wulfe, Jean Mercat, Logan Ellis, Sergey Levine, Adrien Gaidon

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Dynamics-Aware Comparison of Learned Reward Functions.

Blake Wulfe, Logan Michael Ellis, Jean Mercat, Rowan Thomas McAllister, Adrien Gaidon

Proceedings of the Tenth International Conference on Learning Representations, 2022

RAP: Risk-Aware Prediction for Robust Planning.

Haruki Nishimura, Jean Mercat, Blake Wulfe, Rowan Thomas McAllister, Adrien Gaidon

Proceedings of the Conference on Robot Learning, 2022

2020

Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark.

Sharada P. Mohanty, Jyotish Poonganam, Adrien Gaidon, Andrey Kolobov, Blake Wulfe, Dipam Chakraborty, Grazvydas Semetulskis, João Schapke, Jonas Kubilius, Jurgis Pasukonis, Linas Klimas, Matthew J. Hausknecht, Patrick MacAlpine, Quang Nhat Tran, Thomas Tumiel, Xiaocheng Tang, Xinwei Chen, Christopher Hesse, Jacob Hilton, William Hebgen Guss, Sahika Genc, John Schulman, Karl Cobbe

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

2018

Horizontal Maneuver Coordination for Aircraft Collision-Avoidance Systems.

Rachael E. Tompa, Blake Wulfe, Mykel J. Kochenderfer, Michael P. Owen

J. Aerosp. Inf. Syst., February, 2018

Multi-Agent Imitation Learning for Driving Simulation.

Raunak P. Bhattacharyya, Derek J. Phillips, Blake Wulfe, Jeremy Morton, Alex Kuefler, Mykel J. Kochenderfer

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Real-Time Prediction of Intermediate-Horizon Automotive Collision Risk.

Blake Wulfe, Sunil Chintakindi, Sou-Cheng T. Choi, Rory Hartong-Redden, Anuradha Kodali, Mykel J. Kochenderfer

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018