Polish IEEE Access Research Paper

I need someone to refine my IEEE research paper on DQN and NSGA-II in Multi-Agent Systems. The paper needs comprehensive polishing, especially in the Methods and Results sections.

Key Areas of Improvement:
- Grammar and clarity
- Enhancing technical content (this is the highest priority)
- Improving data presentation (tables, figures)
- Adding missing algorithm pseudocode or block diagrams
- Including ablation or comparative analysis
- Explaining hyperparameters
- Adding adequate figure callouts

Ideal Skills and Experience:
- Expertise in IEEE research paper formats
- Strong background in reinforcement learning and multi-agent systems
- Excellent technical writing and editing skills
- Experience with algorithm pseudocode and block diagrams
- Familiarity with data presentation in academic papers

I’m looking for someone who can:
- Improve grammar, clarity, and flow (especially active voice and tense consistency)
- Format the paper to IEEE Access standards
- Help enhance technical sections (especially the Methods and Results)
- Improve figure resolution and placement
- Add high-quality academic references from IEEE Xplore or other reliable sources



If you have some background or familiarity with AI/ML or reinforcement learning concepts, that would be ideal — but I’m happy to guide on the technical details if needed

Looking forward to your bids!