1 citations · 1 across the 4 of their papers we have counts for
7 papers
Updating Robot Safety Representations Online from Natural Language Feedback
Leonardo Santos, Zirui Li, Lasse Peters +2
Robots must operate safely when deployed in novel and human-centered environments, like homes. Current safe control approaches typically assume that the safety constraints are know…
Online and Offline Learning of Player Objectives from Partial Observations in Dynamic Games
Lasse Peters, Vicenç Rubies-Royo, Claire J. Tomlin +4
Robots deployed to the real world must be able to interact with other agents in their environment. Dynamic game theory provides a powerful mathematical framework for modeling scena…
Learning Mixed Strategies in Trajectory Games
Lasse Peters, David Fridovich-Keil, Laura Ferranti +3
In multi-agent settings, game theory is a natural framework for describing the strategic interactions of agents whose objectives depend upon one another's behavior. Trajectory game…
Inferring Objectives in Continuous Dynamic Games from Noise-Corrupted Partial State Observations
Lasse Peters, David Fridovich-Keil, Vicenç Rubies-Royo +2
Robots and autonomous systems must interact with one another and their environment to provide high-quality services to their users. Dynamic game theory provides an expressive theor…
iLQGames.jl: Rapidly Designing and Solving Differential Games in Julia
Lasse Peters, Zachary N. Sunberg
In many problems that involve multiple decision making agents, optimal choices for each agent depend on the choices of others. Differential game theory provides a principled formal…
Inference-Based Strategy Alignment for General-Sum Differential Games
Lasse Peters, David Fridovich-Keil, Claire J. Tomlin +1
In many settings where multiple agents interact, the optimal choices for each agent depend heavily on the choices of the others. These coupled interactions are well-described by a…