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2023

Reinforcement learning for scaffold-free construction of spanning-structures

G. Vallat; J. Wang; A. M. Maddux; M. Kamgarpour; S. Parascho

2023-10-10. 8th ACM Symposium on Computational Fabrication (SCF), New York, NY, OCT 08-10, 2023. p. 12. DOI : 10.1145/3623263.3623359.

2023

Reinforcement learning for scaffold-free construction of spanning-structures

Constrained Inverse Reinforcement Learning: Challenges and Solutions for Real World Implementation

Provable Convergence Guarantees for Constrained Inverse Reinforcement Learning

Multi-agent Reinforcement Learning for Assembly of a Spanning Structure

Learning to make mixed-integer robot motion planning easy

Safe Zeroth-Order Optimization Using Linear Programs

Multi-robot task allocation for safe planning against stochastic hazard dynamics

Safe Zeroth-Order Convex Optimization Using Quadratic Local Approximations

Certification of Bottleneck Task Assignment With Shortest Path Criteria

Identifiability and Generalizability in Constrained Inverse Reinforcement Learning

2022

System-level, input-output and new parameterizations of stabilizing controllers, and their numerical computation

Efficient Model-based Multi-agent Reinforcement Learning via Optimistic Equilibrium Computation

Coordination and control of a group of ground robots

Optimal Task Assignment and Collision Avoidance for Mobile Robots

Enabling inter-area reserve exchange through stable benefit allocation mechanisms *

Chance-Constrained Trajectory Planning With Multimodal Environmental Uncertainty

Safe Motion Planning against Multimodal Distributions Based on a Scenario Approach

2021

Sample Complexity of Linear Quadratic Gaussian (LQG) Control for Output Feedback Systems

Online Submodular Resource Allocation with Applications to Rebalancing Shared Mobility Systems

Multi-robot task allocation for safe planning against stochastic hazard dynamics

Fast Projection Onto Convex Smooth Constraints

Bandit Online Learning of Nash Equilibria in Monotone Games

RRT*-Based Algorithm for Trajectory Planning Considering Probabilistic Weather Forecasts

On the Equivalence of Youla, System-Level, and Input-Output Parameterizations

A market-based approach for enabling inter-area reserve exchange

Informed scenario-based RRT∗ for aircraft trajectory planning under ensemble forecasting of thunderstorms

Trajectory planning under environmental uncertainty with finite-sample safety guarantees

Performance guarantees of forward and reverse greedy algorithms for minimizing nonsupermodular nonsubmodular functions on a matroid

2020

Safe non-smooth black-box optimization with application to policy search

System-level, Input-output and New Parameterizations of Stabilizing Controllers, and Their Numerical Computation

Mixed Strategies for Robust Optimization of Unknown Objectives

Minimizing Regret of Bandit Online Optimization in Unconstrained Action Spaces

Learning the Globally Optimal Distributed LQ Regulator

Distributed Design for Decentralized Control using Chordal Decomposition and ADMM

Actuator Placement under Structural Controllability using Forward and Reverse Greedy Algorithms

No-Regret Learning from Partially Observed Data in Repeated Auctions

Contextual Games: Multi-Agent Learning with Side Information

Learning to Play Sequential Games versus Unknown Opponents

Core-Selecting Mechanisms in Electricity Markets

Safe Mission Planning under Dynamical Uncertainties

First Order Methods For Globally Optimal Distributed Controllers Beyond Quadratic Invariance

Sparsity Invariance for Convex Design of Distributed Controllers

2019

Log Barriers for Safe Non-convex Black-box Optimization

Enabling inter-area reserve exchange through stable benefit allocation mechanisms

No-Regret Learning in Unknown Games with Correlated Payoffs

Learning Generalized Nash Equilibria in a Class of Convex Games

Nash and Wardrop Equilibria in Aggregative Games With Coupling Constraints

Robust aircraft trajectory planning under uncertain convective environments with optimal control and rapidly developing thunderstorms

Performance guarantees for greedy maximization of non-submodular controllability metrics

On Separable Quadratic Lyapunov Functions for Convex Design of Distributed Controllers

Using Uncertainty Data in Chance-Constrained Trajectory Planning

Strengthening the Group: Aggregated Frequency Reserve Bidding With ADMM

Exploiting structure of chance constrained programs via submodularity

An Input–Output Parametrization of Stabilizing Controllers: Amidst Youla and System Level Synthesis

Designing Coalition-Proof Reverse Auctions Over Continuous Goods

Unified Approach to Convex Robust Distributed Control Given Arbitrary Information Structures

Learning Nash Equilibria in Monotone Games

Privacy of Real-Time Pricing in Smart Grid

Actuator Placement for Optimizing Network Performance under Controllability Constraints

Safe Convex Learning under Uncertain Constraints

Bounding Inefficiency of Equilibria in Continuous Actions Games using Submodularity and Curvature

2018

Game-theoretic models in energy systems and control DTU Summer School 2018 Modern Optimization in Energy Systems‬

From Uncertainty Data to Robust Policies for Temporal Logic Planning

On maximizing safety in stochastic aircraft trajectory planning with uncertain thunderstorm development

Optimizing HVDC Grid Expansion and Control for Enhancing DC Stability

Minimizing Regret in Unconstrained Online Convex Optimization

Scalable analysis of linear networked systems via chordal decomposition

Reducing HVDC Network Oscillations Considering Wind Intermittency Through Optimized Grid Expansion Decision

Exploiting Weak Supermodularity for Coalition-Proof Mechanisms

Robust Distributed Control Beyond Quadratic Invariance

2017

A Semidefinite Programming Approach to Control Synthesis for Stochastic Reach-Avoid Problems

Robust optimal control with adjustable uncertainty sets

Optimal Aircraft Trajectory Planning in the Presence of Stochastic Convective Weather Cells