29 citations · 86 across the 22 of their papers we have counts for
35 papers
Chance-Constrained Trajectory Planning with Multimodal Environmental Uncertainty
Kai Ren, Heejin Ahn, Maryam Kamgarpour
We tackle safe trajectory planning under Gaussian mixture model (GMM) uncertainty. Specifically, we use a GMM to model the multimodal behaviors of obstacles' uncertain states. Then…
A Policy Iteration Algorithm for N-player General-Sum Linear Quadratic Dynamic Games
Yuxiang Guan, Giulio Salizzoni, Maryam Kamgarpour +1
We present a policy iteration algorithm for the infinite-horizon N-player general-sum deterministic linear quadratic dynamic games and compare it to policy gradient methods. We dem…
Multi-Agent Learning in Contextual Games under Unknown Constraints
Anna M. Maddux, Maryam Kamgarpour
We consider the problem of learning to play a repeated contextual game with unknown reward and unknown constraints functions. Such games arise in applications where each agent's ac…
Identifiability and Generalizability in Constrained Inverse Reinforcement Learning
Andreas Schlaginhaufen, Maryam Kamgarpour
Two main challenges in Reinforcement Learning (RL) are designing appropriate reward functions and ensuring the safety of the learned policy. To address these challenges, we present…
On Linear Quadratic Potential Games
Sara Hosseinirad, Giulio Salizzoni, Alireza Alian Porzani +1
Our paper addresses characterizing conditions for a linear quadratic (LQ) game to be a potential game. The desired properties of potential games in finite action settings, such as…
Safe Zeroth-Order Optimization Using Linear Programs
Baiwei Guo, Yang Wang, Yuning Jiang +2
To solve unmodeled optimization problems with hard constraints, this paper proposes a novel zeroth-order approach called Safe Zeroth-order Optimization using Linear Programs (SZO-L…