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07/17/2023
Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation
We study robust reinforcement learning (RL) with the goal of determining...
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06/06/2023
LLMZip: Lossless Text Compression using Large Language Models
We provide new estimates of an asymptotic upper bound on the entropy of ...
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05/04/2023
Federated Ensemble-Directed Offline Reinforcement Learning
We consider the problem of federated offline reinforcement learning (RL)...
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03/05/2023
Improved Sample Complexity Bounds for Distributionally Robust Reinforcement Learning
We consider the problem of learning a control policy that is robust agai...
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02/23/2023
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems
This paper addresses safe distributed online optimization over an unknow...
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09/26/2022
Enhanced Meta Reinforcement Learning using Demonstrations in Sparse Reward Environments
Meta reinforcement learning (Meta-RL) is an approach wherein the experie...
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09/17/2022
Robust Reinforcement Learning Algorithm for Vision-based Ship Landing of UAVs
This paper addresses the problem of developing an algorithm for autonomo...
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08/26/2022
DETERRENT: Detecting Trojans using Reinforcement Learning
Insertion of hardware Trojans (HTs) in integrated circuits is a pernicio...
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08/18/2022
Meta-Learning Online Control for Linear Dynamical Systems
In this paper, we consider the problem of finding a meta-learning online...
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08/10/2022
Robust Reinforcement Learning using Offline Data
The goal of robust reinforcement learning (RL) is to learn a policy that...
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07/15/2022
Distributed Learning of Neural Lyapunov Functions for Large-Scale Networked Dissipative Systems
This paper considers the problem of characterizing the stability region ...
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06/10/2022
Anchor-Changing Regularized Natural Policy Gradient for Multi-Objective Reinforcement Learning
We study policy optimization for Markov decision processes (MDPs) with m...
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02/25/2022
Intelligent Vision-based Autonomous Ship Landing of VTOL UAVs
The paper discusses an intelligent vision-based control solution for aut...
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02/09/2022
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
A major challenge in real-world reinforcement learning (RL) is the spars...
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12/18/2021
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching
We consider the off-policy evaluation (OPE) problem in contextual bandit...
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12/02/2021
Sample Complexity of Robust Reinforcement Learning with a Generative Model
The Robust Markov Decision Process (RMDP) framework focuses on designing...
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12/01/2021
Safe Exploration for Constrained Reinforcement Learning with Provable Guarantees
We consider the problem of learning an episodic safe control policy that...
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11/30/2021
Online Learning for Receding Horizon Control with Provable Regret Guarantees
We address the problem of learning to control an unknown linear dynamica...
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11/14/2021
Safe Online Convex Optimization with Unknown Linear Safety Constraints
We study the problem of safe online convex optimization, where the actio...
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10/31/2021
Fast Global Convergence of Policy Optimization for Constrained MDPs
We address the issue of safety in reinforcement learning. We pose the pr...
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10/05/2021
OTTR: Off-Road Trajectory Tracking using Reinforcement Learning
In this work, we present a novel Reinforcement Learning (RL) algorithm f...
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06/04/2021
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs
We address the issue of safety in reinforcement learning. We pose the pr...
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08/13/2020
A Vision-Based Control Method for Autonomous Landing of Vertical Flight Aircraft On a Moving Platform Without Using GPS
The paper discusses a novel vision-based estimation and control approach...
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08/01/2020
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs
Many physical systems have underlying safety considerations that require...
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06/21/2020
Learning Trembling Hand Perfect Mean Field Equilibrium for Dynamic Mean Field Games
Mean Field Games (MFG) are those in which each agent assumes that the st...
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06/20/2020
Model-Free Robust Reinforcement Learning with Linear Function Approximation
This paper addresses the problem of model-free reinforcement learning fo...
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06/20/2020
Robust Reinforcement Learning using Least Squares Policy Iteration
This paper addresses the problem of model-free reinforcement learning fo...
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04/01/2020
Learning to Cache and Caching to Learn: Regret Analysis of Caching Algorithms
Crucial performance metrics of a caching algorithm include its ability t...
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03/03/2020
Bounded Regret for Finitely Parameterized Multi-Armed Bandits
We consider the problem of finitely parameterized multi-armed bandits wh...
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02/21/2020
On the Search for Feedback in Reinforcement Learning
This paper addresses the problem of learning the optimal feedback policy...
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02/18/2020
D2C 2.0: Decoupled Data-Based Approach for Learning to Control Stochastic Nonlinear Systems via Model-Free ILQR
In this paper, we propose a structured linear parameterization of a feed...
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04/17/2019
Decoupled Data Based Approach for Learning to Control Nonlinear Dynamical Systems
This paper addresses the problem of learning the optimal control policy ...
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01/04/2019
QFlow: A Reinforcement Learning Approach to High QoE Video Streaming over Wireless Networks
Wireless Internet access has brought legions of heterogeneous applicatio...
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12/20/2017
Mechanism Design for Demand Response Programs
Demand Response (DR) programs serve to reduce the consumption of electri...
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10/15/2017
Estimating Phase Duration for SPaT Messages
A SPaT (Signal Phase and Timing) message describes for each lane the cur...
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10/15/2017
Estimating Residual Phase Duration for SPaT Messages
SPaT (Signal Phase and Timing) refers to the current phase at a signaliz...
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05/04/2015
