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Works (2)
Updated: February 22nd, 2025 05:01
2025 journal article
A Simple Finite-Time Analysis of TD Learning With Linear Function Approximation
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 70(2), 1388–1394.
author keywords: Temporal difference learning; Approximation algorithms; Standards; Function approximation; Convergence; Perturbation methods; Noise; Vectors; Heuristic algorithms; Delays; Finite-time analysis; reinforcement learning; stochastic approximation; temporal difference learning
topics (OpenAlex): Neural Networks and Applications
open access via arxiv.org (repository)
Source: Web Of Science
Added: February 17, 2025
2023 journal article
Federated TD Learning Over Finite-Rate Erasure Channels: Linear Speedup Under Markovian Sampling
IEEE CONTROL SYSTEMS LETTERS, 7, 2461–2466.
author keywords: Servers; Markov processes; Quantization (signal); Function approximation; Approximation algorithms; Reinforcement learning; Supervised learning; Machine learning; large-scale systems; communication networks
topics (OpenAlex): Distributed Control Multi-Agent Systems; Stability and Control of Uncertain Systems; Age of Information Optimization
TL;DR:
This work proposes and analyze QFedTD - a quantized federated temporal difference learning algorithm with linear function approximation that highlights the effect of quantization and erasures on the convergence rate and establishes a linear speedup w.r.t. the number of agents under Markovian sampling.
(via Semantic Scholar)
Source: Web Of Science
Added: August 7, 2023