Lasse Peters

31 papers A* 2A 2C 1Journal 22Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bayesian Inverse Games with High-Dimensional Multi-Modal Observations.
CoRR
Yash Jain, Xinjie Liu, Lasse Peters, David Fridovich-Keil, Ufuk Topcu
2026 J jnl
Breaking Exponential Complexity in Games of Ordered Preference: A Tractable Reformulation.
CoRR
Dong Ho Lee, Jingqi Li, Lasse Peters, Georgios Bakirtzis, David Fridovich-Keil
2026 J jnl
Homotopy-Guided Potential Games for Congestion-Aware Navigation.
IEEE Robotics Autom. Lett.
Mohammed Irshadh Ismaaeel Sathyamangalam Imran, Lasse Peters, Michael Khayyat, Stefano Arrigoni, Francesco Braghin, Laura Ferranti
2026 J jnl
Strategizing at Speed: A Learned Model Predictive Game for Multi-Agent Drone Racing.
CoRR
Andrei-Carlo Papuc, Lasse Peters, Sihao Sun, Laura Ferranti, Javier Alonso-Mora
2025 — conf
Approximate Solutions to Games of Ordered Preference.
ITSC
Pau de las Heras Molins, Eric Roy-Almonacid, Dong Ho Lee, Lasse Peters, David Fridovich-Keil, Georgios Bakirtzis
2025 J jnl
Approximate solutions to games of ordered preference.
CoRR
Pau de las Heras Molins, Eric Roy-Almonacid, Dong Ho Lee, Lasse Peters, David Fridovich-Keil, Georgios Bakirtzis
2025 J jnl
Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis.
CoRR
Kensuke Nakamura, Lasse Peters, Andrea Bajcsy
2025 A* conf
Updating Robot Safety Representations Online From Natural Language Feedback.
ICRA
Leonardo Santos, Zirui Li, Lasse Peters, Somil Bansal, Andrea Bajcsy
2025 J jnl
You Can't Always Get What You Want: Games of Ordered Preference.
IEEE Robotics Autom. Lett.
Dong Ho Lee, Lasse Peters, David Fridovich-Keil
2024 J jnl
Auto-Encoding Bayesian Inverse Games.
CoRR
Xinjie Liu, Lasse Peters, Javier Alonso-Mora, Ufuk Topcu, David Fridovich-Keil
2024 J jnl
Contingency Games for Multi-Agent Interaction.
IEEE Robotics Autom. Lett.
Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora
2024 J jnl
Updating Robot Safety Representations Online from Natural Language Feedback.
CoRR
Leonardo Santos, Zirui Li, Lasse Peters, Somil Bansal, Andrea Bajcsy
2024 J jnl
You Can't Always Get What You Want : Games of Ordered Preference.
CoRR
Dong Ho Lee, Lasse Peters, David Fridovich-Keil
2023 J jnl
Contingency Games for Multi-Agent Interaction.
CoRR
Lasse Peters, Andrea Bajcsy, Chih-Yuan Chiu, David Fridovich-Keil, Forrest Laine, Laura Ferranti, Javier Alonso-Mora
2023 A conf
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories.
AAMAS
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2023 J jnl
Cost Inference for Feedback Dynamic Games from Noisy Partial State Observations and Incomplete Trajectories.
CoRR
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2023 J jnl
Learning Players' Objectives in Continuous Dynamic Games from Partial State Observations.
CoRR
Lasse Peters, Vicenc Rubies-Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil
2023 J jnl
Learning to Play Trajectory Games Against Opponents With Unknown Objectives.
IEEE Robotics Autom. Lett.
Xinjie Liu, Lasse Peters, Javier Alonso-Mora
2023 J jnl
Online and offline learning of player objectives from partial observations in dynamic games.
Int. J. Robotics Res.
Lasse Peters, Vicenc Rubies-Royo, Claire J. Tomlin, Laura Ferranti, Javier Alonso-Mora, Cyrill Stachniss, David Fridovich-Keil
2023 — conf
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games.
CDC
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2023 J jnl
Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games.
CoRR
Jingqi Li, Chih-Yuan Chiu, Lasse Peters, Fernando Palafox, Mustafa O. Karabag, Javier Alonso-Mora, Somayeh Sojoudi, Claire J. Tomlin, David Fridovich-Keil
2022 — conf
Learning Mixed Strategies in Trajectory Games.
Robotics: Science and Systems
Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine
2022 J jnl
Learning Mixed Strategies in Trajectory Games.
CoRR
Lasse Peters, David Fridovich-Keil, Laura Ferranti, Cyrill Stachniss, Javier Alonso-Mora, Forrest Laine
2022 J jnl
Learning to Play Trajectory Games Against Opponents with Unknown Objectives.
CoRR
Xinjie Liu, Lasse Peters, Javier Alonso-Mora
2021 — conf
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations.
Robotics: Science and Systems
Lasse Peters, David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin, Cyrill Stachniss
2021 J jnl
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations.
CoRR
Lasse Peters, David Fridovich-Keil, Vicenc Rubies-Royo, Claire J. Tomlin, Cyrill Stachniss
2020 A* conf
Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games.
ICRA
David Fridovich-Keil, Ellis Ratner, Lasse Peters, Anca D. Dragan, Claire J. Tomlin
2020 A conf
Inference-Based Strategy Alignment for General-Sum Differential Games.
AAMAS
Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg
2020 J jnl
Inference-Based Strategy Alignment for General-Sum Differential Games.
CoRR
Lasse Peters, David Fridovich-Keil, Claire J. Tomlin, Zachary N. Sunberg
2020 J jnl
iLQGames.jl: Rapidly Designing and Solving Differential Games in Julia.
CoRR
Lasse Peters, Zachary N. Sunberg
2018 C conf
Designing Convolutional Neural Networks Using a Genetic Approach for Ball Detection.
RoboCup
Georg Christian Felbinger, Patrick Göttsch, Pascal Loth, Lasse Peters, Felix Wege