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kaivalya-cyber/ReadMe.md

About Me Current Focus: Reinforcement Learning, control systems, and optimization

Technical Interests: Reinforcement Learning (policy optimization, value-based methods) Simulation environments (MuJoCo, Gymnasium) Robotics & multi-agent systems Applied machine learning for real-world control problems

Currently Working On: Training RL agents in MuJoCo environments Exploring policy gradient methods and actor–critic architectures Building reproducible experimentation pipelines

Open to Collaborate On: RL research projects Robotics simulation experiments Control + ML hybrid systems Interesting optimization problems

Currently Learning: Advanced RL theory MuJoCo physics modeling Stable-Baselines3 & custom training loops

Long-Term Goal: To build intelligent control systems that bridge machine learning and real-world robotics.

🌐 Socials:

Instagram [LinkedIn](https://linkedin.com/in/Kaivalya Singh) [Reddit](https://reddit.com/user/ ElephantUsed1014) email

💻 Tech Stack:

C C# HTML5 Java Kotlin Python Bash Script Windows Terminal Google Cloud Azure Firebase Oracle Nix TypeScript JavaScript LaTeX Markdown Objective-C Ruby PowerShell TailwindCSS WebGL Web3.js Windicss SvelteKit Svelte SASS RxJS RxDB RayLib Phoenix Framework Semantic UI React React Hook Form OpenGL OpenCV NestJS Metero JS JavaFX Jasmine Framework7 Green Sock DjangoREST Bootstrap Electron.js Anaconda Apollo-GraphQL Code-Igniter Context-API Elasticsearch Flask JWT MaxCompute Apache Kafka Apache Hadoop WordPress Apache Nginx Adobe Adobe Audition Figma Framer Storybook Rhinoceros Proto.io Inkscape mlflow NumPy TensorFlow Pandas Plotly PyTorch GitLab Mercurial GitHub Actions TeamCity GitHub Gitee Forgejo Bitbucket Fastlane CloudBees Sentry Cypress Arduino Kubernetes OpenTelemetry OpenAPI Specification Tampermonkey Terraform Raspberry Pi Mosquitto CMake Gradle Xbox Unreal Engine Riot Games Epic Games Twilio Power Bi Analogue nVIDIA OpenGL Unity Steam

📊 GitHub Stats:



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