Search Results for author: Nikolaos Thomos

Found 3 papers, 0 papers with code

Multi-Agent Deep Reinforcement Learning in Vehicular OCC

no code implementations5 May 2022 Amirul Islam, Leila Musavian, Nikolaos Thomos

Optical camera communications (OCC) has emerged as a key enabling technology for the seamless operation of future autonomous vehicles.

Autonomous Vehicles reinforcement-learning +1

Viewport-Aware Deep Reinforcement Learning Approach for 360$^o$ Video Caching

no code implementations18 Mar 2020 Pantelis Maniotis, Nikolaos Thomos

To solve the problem, we first formulate the content placement of 360$^o$ videos in edge cache networks as a Markov Decision Process (MDP), and then we determine the optimal caching placement using the Deep Q-Network (DQN) algorithm.

reinforcement-learning Reinforcement Learning (RL)

Design of Capacity-Approaching Low-Density Parity-Check Codes using Recurrent Neural Networks

no code implementations5 Jan 2020 Eleni Nisioti, Nikolaos Thomos

We refer to our RNN architecture as Neural Density Evolution (NDE) and determine the weights of the RNN that correspond to optimal designs by minimizing a loss function that enforces the properties of asymptotically optimal design, as well as the desired structural characteristics of the code.

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