Lasse Peters

Orcid: 0000-0001-9008-7127

According to our database1, Lasse Peters authored at least 23 papers between 2018 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Homotopy-Guided Potential Games for Congestion-Aware Navigation.
IEEE Robotics Autom. Lett., May, 2026

Coordinated Diffusion: Generating Multi-Agent Behavior Without Multi-Agent Demonstrations.
CoRR, May, 2026

Controllability in preference-conditioned multi-objective reinforcement learning.
CoRR, May, 2026

Breaking Exponential Complexity in Games of Ordered Preference: A Tractable Reformulation.
CoRR, March, 2026

Strategizing at Speed: A Learned Model Predictive Game for Multi-Agent Drone Racing.
CoRR, February, 2026

Bayesian Inverse Games with High-Dimensional Multi-Modal Observations.
CoRR, January, 2026

2025
You Can't Always Get What You Want: Games of Ordered Preference.
IEEE Robotics Autom. Lett., July, 2025

Generalizing Safety Beyond Collision-Avoidance via Latent-Space Reachability Analysis.
CoRR, February, 2025

Approximate Solutions to Games of Ordered Preference.
Proceedings of the 28th IEEE International Conference on Intelligent Transportation Systems, 2025

Updating Robot Safety Representations Online From Natural Language Feedback.
Proceedings of the IEEE International Conference on Robotics and Automation, 2025

2024
Contingency Games for Multi-Agent Interaction.
IEEE Robotics Autom. Lett., 2024

Auto-Encoding Bayesian Inverse Games.
CoRR, 2024

2023
Online and offline learning of player objectives from partial observations in dynamic games.
Int. J. Robotics Res., September, 2023

Learning to Play Trajectory Games Against Opponents With Unknown Objectives.
IEEE Robotics Autom. Lett., July, 2023

Learning Players' Objectives in Continuous Dynamic Games from Partial State Observations.
CoRR, 2023

Scenario-Game ADMM: A Parallelized Scenario-Based Solver for Stochastic Noncooperative Games.
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.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022
Learning Mixed Strategies in Trajectory Games.
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.
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.
CoRR, 2020

Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Inference-Based Strategy Alignment for General-Sum Differential Games.
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.
Proceedings of the RoboCup 2018: Robot World Cup XXII [Montreal, 2018


  Loading...