Lasse Peters

According to our database, Lasse Peters authored at least 15 papers between 2018 and 2024.

Collaborative distances:

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

2024

Contingency Games for Multi-Agent Interaction.

Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora

IEEE Robotics Autom. Lett., 2024

You Can't Always Get What You Want : Games of Ordered Preference.

Dong Ho Lee, Lasse Peters, David Fridovich-Keil

CoRR, 2024

Updating Robot Safety Representations Online from Natural Language Feedback.

Leonardo Santos, Zirui Li, Lasse Peters, Somil Bansal, Andrea Bajcsy

CoRR, 2024

Auto-Encoding Bayesian Inverse Games.

Xinjie Liu, Lasse Peters, Javier Alonso-Mora, Ufuk Topcu, David Fridovich-Keil

CoRR, 2024

2023

Online and offline learning of player objectives from partial observations in dynamic games.

Lasse Peters, Vicenc Rubies-Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil

Int. J. Robotics Res., September, 2023

Learning to Play Trajectory Games Against Opponents With Unknown Objectives.

Xinjie Liu, Lasse Peters, Javier Alonso-Mora

IEEE Robotics Autom. Lett., July, 2023

Learning Players' Objectives in Continuous Dynamic Games from Partial State Observations.

Lasse Peters, Vicenc Rubies-Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil

CoRR, 2023

Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games.

Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil

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

Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories.

Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Learning Mixed Strategies in Trajectory Games.

Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

2021

Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations.

Lasse Peters, David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin, Cyrill Stachniss

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

2020

iLQGames.jl: Rapidly Designing and Solving Differential Games in Julia.

Lasse Peters, Zachary N. Sunberg

CoRR, 2020

Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games.

David Fridovich-Keil, Ellis Ratner, Lasse Peters, Anca D. Dragan, Claire J. Tomlin

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Inference-Based Strategy Alignment for General-Sum Differential Games.

Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2018

Designing Convolutional Neural Networks Using a Genetic Approach for Ball Detection.

Georg Christian Felbinger, Patrick Göttsch, Pascal Loth, Lasse Peters, Felix Wege

Proceedings of the RoboCup 2018: Robot World Cup XXII [Montreal, 2018