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09/15/2023
Wasserstein Distributionally Robust Policy Evaluation and Learning for Contextual Bandits
Off-policy evaluation and learning are concerned with assessing a given ...
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09/01/2023
Convergence Analysis of the Best Response Algorithm for Time-Varying Games
This paper studies a class of strongly monotone games involving non-coop...
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04/01/2023
Max-Plus Synchronization in Decentralized Trading Systems
We introduce a decentralized mechanism for pricing and exchanging altern...
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03/23/2023
Policy Evaluation in Distributional LQR
Distributional reinforcement learning (DRL) enhances the understanding o...
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09/09/2022
Risk-Averse Multi-Armed Bandits with Unobserved Confounders: A Case Study in Emotion Regulation in Mobile Health
In this paper, we consider a risk-averse multi-armed bandit (MAB) proble...
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09/06/2022
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games
We consider risk-averse learning in repeated unknown games where the goa...
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03/16/2022
Risk-Averse No-Regret Learning in Online Convex Games
We consider an online stochastic game with risk-averse agents whose goal...
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06/22/2021
Failing with Grace: Learning Neural Network Controllers that are Boundedly Unsafe
In this work, we consider the problem of learning a feed-forward neural ...
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06/07/2021
Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning
In this paper, we consider a transfer Reinforcement Learning (RL) proble...
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03/08/2021
Formal Verification of Stochastic Systems with ReLU Neural Network Controllers
In this work, we address the problem of formal safety verification for s...
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01/14/2021
Temporal Logic Task Allocation in Heterogeneous Multi-Robot Systems
In this paper, we consider the problem of optimally allocating tasks, ex...
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12/08/2020
Plane Wave Elastography: A Frequency-Domain Ultrasound Shear Wave Elastography Approach
In this paper, we propose Plane Wave Elastography (PWE), a novel ultraso...
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11/03/2020
Human-in-the-Loop Robot Planning with Non-Contextual Bandit Feedback
In this paper, we consider a robot navigation problem in environments po...
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10/14/2020
Boosting One-Point Derivative-Free Online Optimization via Residual Feedback
Zeroth-order optimization (ZO) typically relies on two-point feedback to...
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06/18/2020
Cooperative Multi-Agent Reinforcement Learning with Partial Observations
In this paper, we propose a distributed zeroth-order policy optimization...
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06/18/2020
Improving the Convergence Rate of One-Point Zeroth-Order Optimization using Residual Feedback
Many existing zeroth-order optimization (ZO) algorithms adopt two-point ...
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03/09/2020
Transfer Reinforcement Learning under Unobserved Contextual Information
In this paper, we study a transfer reinforcement learning problem where ...
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03/02/2020
Socially-Aware Robot Planning via Bandit Human Feedback
In this paper, we consider the problem of designing collision-free, dyna...
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12/16/2019
VarNet: Variational Neural Networks for the Solution of Partial Differential Equations
In this paper we propose a new model-based unsupervised learning method,...
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11/12/2019
A Distributed Online Convex Optimization Algorithm with Improved Dynamic Regret
In this paper, we consider the problem of distributed online convex opti...
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09/16/2019
Control Synthesis from Linear Temporal Logic Specifications using Model-Free Reinforcement Learning
We present a reinforcement learning (RL) framework to synthesize a contr...
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09/02/2019
An Abstraction-Free Method for Multi-Robot Temporal Logic Optimal Control Synthesis
The majority of existing Linear Temporal Logic (LTL) planning methods re...
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03/25/2019
A Scalable and Optimal Graph-Search Method for Secure State Estimation
The growing complexity of modern Cyber-Physical Systems (CPS) and the fr...
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03/21/2019
Distributed off-Policy Actor-Critic Reinforcement Learning with Policy Consensus
In this paper, we propose a distributed off-policy actor critic method t...
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12/11/2018
Deep Learning for Robotic Mass Transport Cloaking
We consider the problem of Mass Transport Cloaking using mobile robots. ...
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12/10/2018
Model-Based Learning of Turbulent Flows using Mobile Robots
In this paper we consider the problem of model-based learning of turbule...
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09/21/2018
STyLuS^*: A Temporal Logic Optimal Control Synthesis Algorithm for Large-Scale Multi-Robot Systems
This paper proposes proposes a new highly scalable optimal control synth...
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05/03/2018
Distributed State Estimation Using Intermittently Connected Robot Networks
This paper considers the problem of distributed state estimation using m...
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04/29/2018
Control of Magnetic Microrobot Teams for Temporal Micromanipulation Tasks
In this paper, we present a control framework that allows magnetic micro...
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06/07/2017
Multi-Robot Data Gathering Under Buffer Constraints and Intermittent Communication
We consider a team of heterogeneous robots which are deployed within a c...
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06/06/2017
Distributed Hierarchical Control for State Estimation With Robotic Sensor Networks
This paper addresses active state estimation with a team of robotic sens...
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06/06/2017
Distributed Active State Estimation with User-Specified Accuracy
In this paper, we address the problem of controlling a network of mobile...
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06/02/2017