Lasse Peters - RankMe

31 papers A* 2A 2C 1Journal 22Unranked 4

Year	Rank	Type	Title / 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