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Commits on Jan 10, 2026

• feat: Add technical report PDF and enhance README with project details and features

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• chore: Remove extract.py and extract.sh scripts as part of project cleanup

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• docs: Update README for clarity and structure; enhance project overview and features

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• Refactor code structure for improved readability and maintainability

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Commits on Dec 30, 2025

• feat: Add stop_services script and improve logging in environment

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Commits on Dec 27, 2025

• final merged version

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Commits on Dec 23, 2025

• Refactor project structure: rename files for clarity, add new modules for LSTM cache prediction and visualization, and update requirements and .gitignore.

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Commits on Nov 22, 2025

• New cache model

  

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• Add Azure files

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• Add evaluation result visualizations for latency, profit, and task metrics.

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Commits on Nov 16, 2025

• Add evaluation result visualizations for latency, profit, and task metrics.

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• Introduce advanced demand generation, predictive caching enhancements, TensorBoard utility scripts, and visualization improvements.

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Commits on Nov 15, 2025

• Add LSTM

  

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Commits on Nov 13, 2025

• Implement predictive caching: Add offline LSTM training, data generation, and updates in VECN simulation including caching parameters, logging enhancements, and MADDPG/DDQN loss tracking. Refine ta…

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Commits on Oct 12, 2025

• Enhance VECN environment: Implement dynamic UAV count initialization, refine sensitivity analysis parameters, improve visualization image saving, and set up centralized logging for better traceabil…

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Commits on Sep 6, 2025

• Enhance VECN environment: Implement dynamic demand generation with congestion zones, update task handling for multi-hop processing, and refine UAV caching mechanisms. Modify evaluation metrics to s…

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• Adjust UAV parameters, reward factors, latency constraints, and learning rates for performance tuning in VECN environment. Add related PDF documentation.

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Commits on Sep 5, 2025

• Enhance VECN environment for Phase 4: Correct MADDPG_STATE_DIM, expand Task and UAV classes for asynchronous processing, and optimize data rate calculations with Numba.

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Commits on Sep 3, 2025

• Optimize VECN environment using Numba for improved performance and speed

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Commits on Sep 1, 2025

• Add requirements.txt for project dependencies

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• Add new benchmark agents and enhance VECN environment for improved task handling and evaluation

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Commits on Aug 31, 2025

• Implement VECN environment, MADDPG & DDQN agents, and training loop

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• Add .gitignore file for Python project

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• Initial commit

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