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 (AAMAS, 2018)

Multi-Agent Imitation Learning for Driving Simulation. - Raunak P. Bhattacharyya; Derek J. Phillips; Blake Wulfe; Jeremy Morton; Alex Kuefler; Mykel J. Kochenderfer (IROS, 2018)

Horizontal Maneuver Coordination for Aircraft Collision-Avoidance Systems. - Rachael E. Tompa; Blake Wulfe; Mykel J. Kochenderfer; Michael P. Owen (J. Aerosp. Inf. Syst., 2018)

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; et al. (NeurIPS (Competition and Demos), 2020)

RAP: Risk-Aware Prediction for Robust Planning. - Haruki Nishimura; Jean Mercat; Blake Wulfe; Rowan Thomas McAllister; Adrien Gaidon (CoRL, 2022)

Dynamics-Aware Comparison of Learned Reward Functions. - Blake Wulfe; Logan Michael Ellis; Jean Mercat; Rowan Thomas McAllister; Adrien Gaidon (ICLR, 2022)

Control-Aware Prediction Objectives for Autonomous Driving. - Rowan McAllister; Blake Wulfe; Jean Mercat; Logan Ellis; Sergey Levine; Adrien Gaidon (ICRA, 2022)

Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty. - Boris Ivanovic; Kuan-Hui Lee; Pavel Tokmakov; Blake Wulfe; Rowan McAllister; Adrien Gaidon; Marco Pavone 001 (IROS, 2022)

Dynamics-Aware Comparison of Learned Reward Functions. - Blake Wulfe; Ashwin Balakrishna; Logan Ellis; Jean Mercat; Rowan McAllister; Adrien Gaidon (CoRR, 2022)

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., 2023)

View-Invariant Policy Learning via Zero-Shot Novel View Synthesis. - Stephen Tian; Blake Wulfe; Kyle Sargent; Katherine Liu; Sergey Zakharov; Vitor Campagnolo Guizilini; Jiajun Wu 001 (CoRL, 2024)

Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. - Abby O'Neill; Abdul Rehman; Abhiram Maddukuri; Abhishek Gupta 004; Abhishek Padalkar; Abraham Lee; Acorn Pooley; Agrim Gupta; Ajay Mandlekar; Ajinkya Jain; Albert Tung; Alex Bewley; et al. (ICRA, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (Robotics: Science and Systems, 2024)

DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. - Alexander Khazatsky; Karl Pertsch; Suraj Nair 003; Ashwin Balakrishna; Sudeep Dasari; Siddharth Karamcheti; Soroush Nasiriany; Mohan Kumar Srirama; Lawrence Yunliang Chen; Kirsty Ellis; Peter David Fagan; Joey Hejna; et al. (CoRR, 2024)

GHIL-Glue: Hierarchical Control with Filtered Subgoal Images. - Kyle Beltran Hatch; Ashwin Balakrishna; Oier Mees; Suraj Nair 003; Seohong Park; Blake Wulfe; Masha Itkina; Benjamin Eysenbach; Sergey Levine; Thomas Kollar; Benjamin Burchfiel (CoRR, 2024)

OpenThoughts: Data Recipes for Reasoning Models. - Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu 002; Zayne Sprague; Ashima Suvarna; Benjamin Feuer; et al. (CoRR, 2025)

A Careful Examination of Large Behavior Models for Multitask Dexterous Manipulation. - TRI LBM Team; Jose A. Barreiros; Andrew Beaulieu; Aditya Bhat; Rick Cory; Eric Cousineau; Hongkai Dai; Ching-Hsin Fang; Kunimatsu Hashimoto; Muhammad Zubair Irshad; Masha Itkina; Naveen Kuppuswamy; et al. (CoRR, 2025)

ProVox: Personalization and Proactive Planning for Situated Human-Robot Collaboration. - Jennifer Grannen; Siddharth Karamcheti; Blake Wulfe; Dorsa Sadigh (IEEE Robotics Autom. Lett., 2025)