Zeroth-order deterministic policy gradient
Deterministic Policy Gradient (DPG) removes a level of randomness from standard
randomized-action Policy Gradient (PG), and demonstrates substantial empirical success for …
randomized-action Policy Gradient (PG), and demonstrates substantial empirical success for …
Spatially controlled relay beamforming
DS Kalogerias, AP Petropulu - IEEE Transactions on Signal …, 2018 - ieeexplore.ieee.org
We consider the problem of enhancing Quality-of-Service (QoS) in mobile relay
beamforming networks, by optimally controlling relay motion, in the presence of a dynamic …
beamforming networks, by optimally controlling relay motion, in the presence of a dynamic …
Optimal mobile relay beamforming via reinforcement learning
K Diamantaras, A Petropulu - 2019 IEEE 29th International …, 2019 - ieeexplore.ieee.org
We consider the communication of a source-destination pair in a dynamic flat fading channel
environment. The communication is aided by mobile relays, which beamform the source …
environment. The communication is aided by mobile relays, which beamform the source …
Unmanned Vehicles in 6G Networks: A Unifying Treatment of Problems, Formulations, and Tools
Unmanned Vehicles (UVs) functioning as autonomous agents are anticipated to play a
crucial role in the 6th Generation of wireless networks. Their seamless integration, cost …
crucial role in the 6th Generation of wireless networks. Their seamless integration, cost …
Spatially Controlled Relay Beamforming: -Stage Optimal Policies
DS Kalogerias, AP Petropulu - arXiv preprint arXiv:1705.07463, 2017 - arxiv.org
The problem of enhancing Quality-of-Service (QoS) in power constrained, mobile relay
beamforming networks, by optimally and dynamically controlling the motion of the relaying …
beamforming networks, by optimally and dynamically controlling the motion of the relaying …
Asymptotically Optimal Discrete-Time Nonlinear Filters From Stochastically Convergent State Process Approximations
DS Kalogerias, AP Petropulu - IEEE Transactions on Signal …, 2015 - ieeexplore.ieee.org
We consider the problem of approximating optimal in the Minimum Mean Squared Error
(MMSE) sense nonlinear filters in a discrete time setting, exploiting properties of …
(MMSE) sense nonlinear filters in a discrete time setting, exploiting properties of …
Actor-only deterministic policy gradient via zeroth-order gradient oracles in action space
Deterministic policies demonstrate substantial empirical success over their stochastic
counterparts as they remove a level of randomness in Policy Gradient (PG) methods when …
counterparts as they remove a level of randomness in Policy Gradient (PG) methods when …
Enhancing QoS in spatially controlled beamforming networks via distributed stochastic programming
DS Kalogerias, AP Petropulu - 2017 IEEE International …, 2017 - ieeexplore.ieee.org
We address the problem of enhancing Quality-of-Service (QoS) in power constrained,
mobile relay beamforming networks, by controlling the motion of the relaying nodes. We …
mobile relay beamforming networks, by controlling the motion of the relaying nodes. We …
Leveraging Models to Improve Data Efficiency: Navigation, Reinforcement Learning, and Lie Group Convolutions
H Kumar - 2023 - search.proquest.com
Consider a system which takes data as an input, processes the data with a model, and
outputs a decision for a particular objective. We call the measure of the amount of data used …
outputs a decision for a particular objective. We call the measure of the amount of data used …
Nonlinear spatiotemporal channel gain map tracking in mobile cooperative networks
DS Kalogerias, AP Petropulu - 2015 IEEE 16th International …, 2015 - ieeexplore.ieee.org
We propose a nonlinear filtering framework for channel state tracking and spatiotemporal
channel gain prediction in mobile wireless sensor networks, in a Bayesian setting. Under …
channel gain prediction in mobile wireless sensor networks, in a Bayesian setting. Under …