Ross E. Allen

According to our database, Ross E. Allen authored at least 15 papers between 2013 and 2023.

Collaborative distances:

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

2023

Learned Risk Metric Maps for Kinodynamic Systems.

Ross E. Allen, Wei Xiao, Daniela Rus

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Safe Neural Control for Non-Affine Control Systems with Differentiable Control Barrier Functions.

Wei Xiao, Ross E. Allen, Daniela Rus

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Interpretable Autonomous Flight Via Compact Visualizable Neural Circuit Policies.

Paul Tylkin, Tsun-Hsuan Wang, Kyle Palko, Ross E. Allen, Ho Chit Siu, Daniel Wrafter, Tim Seyde, Alexander Amini, Daniela Rus

IEEE Robotics Autom. Lett., 2022

Learning Emergent Discrete Message Communication for Cooperative Reinforcement Learning.

Sheng Li, Yutai Zhou, Ross E. Allen, Mykel J. Kochenderfer

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

Autonomous Flight Arcade Challenge: Single- and Multi-Agent Learning Environments for Aerial Vehicles.

Paul Tylkin, Tsun-Hsuan Wang, Tim Seyde, Kyle Palko, Ross E. Allen, Alexander Amini, Daniela Rus

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Any-Play: An Intrinsic Augmentation for Zero-Shot Coordination.

Keane Lucas, Ross E. Allen

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Evaluation of Human-AI Teams for Learned and Rule-Based Agents in Hanabi.

Ho Chit Siu, Jaime Daniel Peña, Edenna Chen, Yutai Zhou, Victor J. Lopez, Kyle Palko, Kimberlee C. Chang, Ross E. Allen

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning.

Sheng Li, Jayesh K. Gupta, Peter Morales, Ross E. Allen, Mykel J. Kochenderfer

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Towards a Distributed Framework for Multi-Agent Reinforcement Learning Research.

Yutai Zhou, Shawn Manuel, Peter Morales, Sheng Li, Jaime Peña, Ross E. Allen

Proceedings of the 2020 IEEE High Performance Extreme Computing Conference, 2020

2019

A real-time framework for kinodynamic planning in dynamic environments with application to quadrotor obstacle avoidance.

Ross E. Allen, Marco Pavone

Robotics Auton. Syst., 2019

Health-Informed Policy Gradients for Multi-Agent Reinforcement Learning.

Ross E. Allen, Javona White Bear, Jayesh K. Gupta, Mykel J. Kochenderfer

CoRR, 2019

2016

Flying Smartphones: When Portable Computing Sprouts Wings.

Ross E. Allen, Marco Pavone, Mac Schwager

IEEE Pervasive Comput., 2016

2015

Toward a real-time framework for solving the kinodynamic motion planning problem.

Ross E. Allen, Marco Pavone

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

A machine learning approach for real-time reachability analysis.

Ross E. Allen, Ashley A. Clark, Joseph A. Starek, Marco Pavone

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

2013

Internally-actuated rovers for all-access surface mobility: Theory and experimentation.

Ross E. Allen, Marco Pavone, Christopher McQuin, Issa A. D. Nesnas, Julie C. Castillo-Rogez, Tam-Nguyen Nguyen, Jeffrey A. Hoffman

Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013