K. Hatch

3D Radar Velocity Maps for Uncertain Dynamic Environments

Mykel J. Kochenderfer, Ransalu Senanayake, Kyle Beltran Hatch, 2021, 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Example-Based Offline Reinforcement Learning without Rewards

Chelsea Finn, Tianhe Yu, Kyle Hatch, 2021 .

Train Offline, Test Online: A Real Robot Learning Benchmark

P. Abbeel, Chelsea Finn, A. Rajeswaran, 2023, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Contrastive Example-Based Control

S. Levine, R. Salakhutdinov, Chelsea Finn, 2023, L4DC.

Interpretable Local Tree Surrogate Policies pdf

Kyle Hatch, Mykel J. Kochenderfer, Anil Yildiz, 2021, SafeAI@AAAI.

Autonomous Attack Mitigation for Industrial Control Systems pdf

Tamim Sookoor, Kyle Hatch, Ryan Silva, 2021, 2022 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W).

Reinforcement Learning for Industrial Control Network Cyber Security Orchestration pdf

John Mern, Kyle Hatch, Ryan Silva, 2021, ArXiv.

Efficient Imitation Learning with Conservative World Models

K. Hatch, Jiajun Wu, Chelsea Finn, 2024, 2405.13193.

MOTO: Offline Pre-training to Online Fine-tuning for Model-based Robot Learning

Rafael Rafailov, K. Hatch, Chelsea Finn, 2024, ArXiv.

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

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