Designing Convolutional Neural Networks Using a Genetic Approach for Ball Detection. - Georg Christian Felbinger; Patrick Göttsch; Pascal Loth; Lasse Peters; Felix Wege (RoboCup, 2018)

Inference-Based Strategy Alignment for General-Sum Differential Games. - Lasse Peters; David Fridovich-Keil; Claire J. Tomlin; Zachary N. Sunberg (AAMAS, 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 (ICRA, 2020)

iLQGames.jl: Rapidly Designing and Solving Differential Games in Julia. - Lasse Peters; Zachary N. Sunberg (CoRR, 2020)

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 (Robotics: Science and Systems, 2021)

Learning Mixed Strategies in Trajectory Games. - Lasse Peters; David Fridovich-Keil; Laura Ferranti; Cyrill Stachniss; Javier Alonso-Mora; Forrest Laine (Robotics: Science and Systems, 2022)

Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. - Jingqi Li 001; Chih-Yuan Chiu; Lasse Peters; Somayeh Sojoudi; Claire J. Tomlin; David Fridovich-Keil (AAMAS, 2023)

Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games. - Jingqi Li 001; Chih-Yuan Chiu; Lasse Peters; Fernando Palafox; Mustafa O. Karabag; Javier Alonso-Mora; Somayeh Sojoudi; Claire J. Tomlin; David Fridovich-Keil (CDC, 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)

Learning to Play Trajectory Games Against Opponents With Unknown Objectives. - Xinjie Liu; Lasse Peters; Javier Alonso-Mora (IEEE Robotics Autom. Lett., 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., 2023)

Auto-Encoding Bayesian Inverse Games. - Xinjie Liu; Lasse Peters; Javier Alonso-Mora; Ufuk Topcu; 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)

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)

Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis. - Kensuke Nakamura 002; Lasse Peters; Andrea Bajcsy (CoRR, 2025)

Approximate solutions to games of ordered preference. - Pau de las Heras Molins; Eric Roy-Almonacid; Dong Ho Lee; Lasse Peters; David Fridovich-Keil; Georgios Bakirtzis (CoRR, 2025)

You Can't Always Get What You Want: Games of Ordered Preference. - Dong Ho Lee; Lasse Peters; David Fridovich-Keil (IEEE Robotics Autom. Lett., 2025)