Cover Image

A Modified Q-Learning Algorithm for Rate-Profiling of Polarization Adjusted Convolutional (PAC) Codes

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mishra, Samir Kumar, Katyal, Digvijay, Ganapathi, Sarvesha Anegundi
Format:	Preprint
Published:	2021
Subjects:	Information Theory Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Code Rate Optimization via Neural Polar Decoders
by: Aharoni, Ziv, et al.
Published: (2025)

DeepPolar: Inventing Nonlinear Large-Kernel Polar Codes via Deep Learning
by: Hebbar, S Ashwin, et al.
Published: (2024)

The Generalization Error of Supervised Machine Learning Algorithms
by: Perlaza, Samir M., et al.
Published: (2024)

Selectively Precoded Polar Codes
by: Mishra, Samir Kumar, et al.
Published: (2020)

PAC Code Rate-Profile Design Using Search-Constrained Optimization Algorithms
by: Moradi, Mohsen, et al.
Published: (2024)

Decentralized Machine Learning with Centralized Performance Guarantees via Gibbs Algorithms
by: Bermudez, Yaiza, et al.
Published: (2026)

Decoding for Punctured Convolutional and Turbo Codes: A Deep Learning Solution for Protocols Compliance
by: Yan, Yongli, et al.
Published: (2025)

A DPI-PAC-Bayesian Framework for Generalization Bounds
by: Guan, Muhan, et al.
Published: (2025)

A Constrained BA Algorithm for Rate-Distortion and Distortion-Rate Functions
by: Chen, Lingyi, et al.
Published: (2023)

A PAC-Bayesian Analysis of Channel-Induced Degradation in Edge Inference
by: He, Yangshuo, et al.
Published: (2026)

A unified recipe for deriving (time-uniform) PAC-Bayes bounds
by: Chugg, Ben, et al.
Published: (2023)

Towards A Unified PAC-Bayesian Framework for Norm-based Generalization Bounds
by: Yi, Xinping, et al.
Published: (2026)

PAC Codes Meet CRC-Polar Codes
by: Gu, Xinyi, et al.
Published: (2025)

Some theoretical improvements on the tightness of PAC-Bayes risk certificates for neural networks
by: García-Pérez, Diego, et al.
Published: (2025)

Asymptotic Analysis of Sample-averaged Q-learning
by: Panda, Saunak Kumar, et al.
Published: (2024)

A Survey of Deep Learning Architectures for Intelligent Reflecting Surfaces
by: Elbir, Ahmet M., et al.
Published: (2020)

Neural Estimation of the Rate-Distortion Function With Applications to Operational Source Coding
by: Lei, Eric, et al.
Published: (2022)

Gaussian Rate-Distortion-Perception Coding and Entropy-Constrained Scalar Quantization
by: Xie, Li, et al.
Published: (2024)

Output-Constrained Lossy Source Coding With Application to Rate-Distortion-Perception Theory
by: Xie, Li, et al.
Published: (2024)

Incremental Label Distribution Learning with Scalable Graph Convolutional Networks
by: Jia, Ziqi, et al.
Published: (2024)

Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm
by: Li, Jingyang, et al.
Published: (2024)

Generalization Bounds: Perspectives from Information Theory and PAC-Bayes
by: Hellström, Fredrik, et al.
Published: (2023)

Real-Time Text Transmission via LLM-Based Entropy Coding over Fixed-Rate Channels
by: Kunde, Vishnu Teja, et al.
Published: (2026)

Bridging Algorithmic Information Theory and Machine Learning: A New Approach to Kernel Learning
by: Hamzi, Boumediene, et al.
Published: (2023)

Transfer Entropy in Graph Convolutional Neural Networks
by: Moldovan, Adrian, et al.
Published: (2024)

Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding
by: Lei, Eric, et al.
Published: (2024)

Sparse In-Network Learning via Shortest-Path Backpropagation and Finite-Rate Gating
by: Salehi, Mohammad Reza Deylam
Published: (2026)

Federated Learning via Lattice Joint Source-Channel Coding
by: Azimi-Abarghouyi, Seyed Mohammad, et al.
Published: (2024)

An Algorithm for Streaming Differentially Private Data
by: Kumar, Girish, et al.
Published: (2024)

Learning in Convolutional Neural Networks Accelerated by Transfer Entropy
by: Moldovan, Adrian, et al.
Published: (2024)

Learning Algorithm Generalization Error Bounds via Auxiliary Distributions
by: Aminian, Gholamali, et al.
Published: (2022)

Variations on the Expectation due to Changes in the Probability Measure
by: Perlaza, Samir M., et al.
Published: (2025)

Is Q-Learning Minimax Optimal? A Tight Sample Complexity Analysis
by: Li, Gen, et al.
Published: (2021)

Learning Short Codes for Fading Channels with No or Receiver-Only Channel State Information
by: Pomaje, Rishabh Sharad, et al.
Published: (2024)

Game of Coding: Sybil Resistant Decentralized Machine Learning with Minimal Trust Assumption
by: Nodehi, Hanzaleh Akbari, et al.
Published: (2024)

Deep Learning-Based Detection for Marker Codes over Insertion and Deletion Channels
by: Ma, Guochen, et al.
Published: (2024)

Neural Polar Decoders for DNA Data Storage
by: Aharoni, Ziv, et al.
Published: (2025)

VALID: a Validated Algorithm for Learning in Decentralized Networks with Possible Adversarial Presence
by: Bakshi, Mayank, et al.
Published: (2024)

On the Properties and Estimation of Pointwise Mutual Information Profiles
by: Czyż, Paweł, et al.
Published: (2023)

Shapley-Based Data Valuation with Mutual Information: A Key to Modified K-Nearest Neighbors
by: Vahedifar, Mohammad Ali, et al.
Published: (2023)