Bayesian robot localization and battery-aware path planning using noisy signals, BFS navigation, and benchmark evaluation in a grid-world simulator.
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Updated
Oct 15, 2026 - Python
Bayesian robot localization and battery-aware path planning using noisy signals, BFS navigation, and benchmark evaluation in a grid-world simulator.
This repository showcases a variety of machine learning projects created using Google Colaboratory. It includes implementations of classification, regression, clustering, and time series analysis techniques.
A dataset of challenging optimization problems (CPC) for benchmarking global optimization algorithms
🔬 Evaluate aggregation algorithms for federated systems with our comprehensive framework, supporting centralized and decentralized approaches for improved privacy.
🔍 Evaluate web search APIs with our framework, testing accuracy and relevance across multiple AI agents and benchmarks for better information retrieval.
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