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08/18/2023
Seeing the Unseen: The REVEAL protocol to expose the wireless Man-in-the-Middle
A Man-in-the-Middle (MiM) can collect over-the-air packets whether from ...
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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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01/29/2023
Recommender system as an exploration coordinator: a bounded O(1) regret algorithm for large platforms
On typical modern platforms, users are only able to try a small fraction...
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11/02/2022
Energy System Digitization in the Era of AI: A Three-Layered Approach towards Carbon Neutrality
The transition towards carbon-neutral electricity is one of the biggest ...
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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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01/25/2022
Augmented RBMLE-UCB Approach for Adaptive Control of Linear Quadratic Systems
We consider the problem of controlling a stochastic linear system with q...
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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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10/26/2021
Overcoming Pedestrian Blockage in mm-Wave Bands using Ground Reflections
mm-Wave communication employs directional beams to overcome high path lo...
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09/27/2021
Learning from Small Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales
Motivated by the problem of learning when the number of training samples...
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07/18/2021
Silent Tracker: In-band Beam Management for Soft Handover for mm-Wave Networks
In mm-wave networks, cell sizes are small due to high path and penetrati...
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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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02/24/2021
UNBLOCK: Low Complexity Transient Blockage Recovery for Mobile mm-Wave Devices
Directional radio beams are used in the mm-Wave band to combat the high ...
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11/16/2020
Reward Biased Maximum Likelihood Estimation for Reinforcement Learning
The principle of Reward-Biased Maximum Likelihood Estimate Based Adaptiv...
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10/08/2020
Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits
Modifying the reward-biased maximum likelihood method originally propose...
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03/21/2020
Learning in Networked Control Systems
We design adaptive controller (learning rule) for a networked control sy...
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08/03/2019
Optimal Information Updating based on Value of Information
We address the problem of how to optimally schedule data packets over an...
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07/02/2019
Bandit Learning Through Biased Maximum Likelihood Estimation
We propose BMLE, a new family of bandit algorithms, that are formulated ...
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02/20/2019
Optimal Decentralized Dynamic Policies for Video Streaming over Wireless Channels
The problem addressed is that of optimally controlling, in a decentraliz...
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10/29/2018
Heteroscedastic Bandits with Reneging
Although shown to be useful in many areas as models for solving sequenti...
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03/09/2018
The Trade-off between Privacy and Fidelity via Ehrhart Theory
As an increasing amount of data is gathered nowadays and stored in datab...
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01/30/2018
On the Use of the Observability Gramian for Partially Observed Robotic Path Planning Problems
Optimizing measures of the observability Gramian as a surrogate for the ...
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09/06/2017