Lasse Peters

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 20

Top Topics

Weighted Majority

Convolutional Neural Networks

Top Venues

IEEE Robotics Autom. Lett.

Robotics: Science and Systems

Publications

Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora
Contingency Games for Multi-Agent Interaction. IEEE Robotics Autom. Lett. 9 (3) (2024)
Xinjie Liu, Lasse Peters, Javier Alonso-Mora, Ufuk Topcu, David Fridovich-Keil
Auto-Encoding Bayesian Inverse Games. CoRR (2024)
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. CoRR (2023)
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games. CDC (2023)
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories. AAMAS (2023)
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games. CoRR (2023)
Lasse Peters, Vicenç Rúbies Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil
Online and offline learning of player objectives from partial observations in dynamic games. Int. J. Robotics Res. 42 (10) (2023)
Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora
Contingency Games for Multi-Agent Interaction. CoRR (2023)
Xinjie Liu, Lasse Peters, Javier Alonso-Mora
Learning to Play Trajectory Games Against Opponents With Unknown Objectives. IEEE Robotics Autom. Lett. 8 (7) (2023)
Lasse Peters, Vicenç Rúbies Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil
Learning Players' Objectives in Continuous Dynamic Games from Partial State Observations. CoRR (2023)
Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine
Learning Mixed Strategies in Trajectory Games. CoRR (2022)
Xinjie Liu, Lasse Peters, Javier Alonso-Mora
Learning to Play Trajectory Games Against Opponents with Unknown Objectives. CoRR (2022)
Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine
Learning Mixed Strategies in Trajectory Games. Robotics: Science and Systems (2022)
Lasse Peters, David Fridovich-Keil, Vicenç Rúbies Royo, Claire J. Tomlin, Cyrill Stachniss
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations. CoRR (2021)
Lasse Peters, David Fridovich-Keil, Vicenç Rúbies Royo, Claire J. Tomlin, Cyrill Stachniss
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations. Robotics: Science and Systems (2021)
Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg
Inference-Based Strategy Alignment for General-Sum Differential Games. CoRR (2020)
Lasse Peters, Zachary N. Sunberg
iLQGames.jl: Rapidly Designing and Solving Differential Games in Julia. CoRR (2020)
Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg
Inference-Based Strategy Alignment for General-Sum Differential Games. AAMAS (2020)
David Fridovich-Keil, Ellis Ratner, Lasse Peters, Anca D. Dragan, Claire J. Tomlin
Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games. ICRA (2020)
Georg Christian Felbinger, Patrick Göttsch, Pascal Loth, Lasse Peters, Felix Wege
Designing Convolutional Neural Networks Using a Genetic Approach for Ball Detection. RoboCup (2018)