Blake Wulfe

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

Patrick MacAlpine, Matthew J. Hausknecht, Jonas Kubilius, 2021, NeurIPS.

CS 234 Project Final Report : Approaches to Hierarchical Reinforcement Learning

Blake Wulfe, David Hershey, 2017 .

Control-Aware Prediction Objectives for Autonomous Driving

S. Levine, Rowan McAllister, Adrien Gaidon, 2022, 2022 International Conference on Robotics and Automation (ICRA).

RAP: Risk-Aware Prediction for Robust Planning

Rowan McAllister, Adrien Gaidon, Blake Wulfe, 2022, CoRL.

Modeling Human Driving Behavior through Generative Adversarial Imitation Learning pdf

Derek Phillips, Raunak P. Bhattacharyya, Ransalu Senanayake, 2020, IEEE Transactions on Intelligent Transportation Systems.

Multi-Agent Imitation Learning for Driving Simulation

Mykel J. Kochenderfer, Raunak P. Bhattacharyya, Jeremy Morton, 2018, 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Modeling Human Driving Behavior Through Generative Adversarial Imitation Learning

Raunak P. Bhattacharyya, Derek J. Phillips, Mykel J. Kochenderfer, 2020, IEEE Transactions on Intelligent Transportation Systems.

Heterogeneous-Agent Trajectory Forecasting Incorporating Class Uncertainty

Adrien Gaidon, M. Pavone, Kuan-Hui Lee, 2021, 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Dynamics-Aware Comparison of Learned Reward Functions

Ashwin Balakrishna, Rowan McAllister, Adrien Gaidon, 2022, ICLR.

Real-time Prediction of Intermediate-Horizon Automotive Collision Risk

Mykel J. Kochenderfer, Anuradha Kodali, Sunil Chintakindi, 2018, AAMAS.

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

Pannag R. Sanketi, Mateo Guaman Castro, Ilija Radosavovic, 2024, ArXiv.