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Structured GitHub Repositories

All my GitHub projects in one place.

Hello! Iโ€™m Arseniy Pertzovsky, a PhD graduate from Ben-Gurion University of the Negev. Welcome to my GitHub homepage, where you can explore my projects that are organized for your convenience. My primary areas of expertise include Multi-Agent Systems (MAS), Search and Planning in AI, deep Reinforcement Learning (RL), Multi-Agent Reinforcement Learning (MARL), Robot Operating System (ROS), Machine Learning (ML), Web Development, and the Internet of Things (IoT). Each project is categorized into sections to enhance your browsing experience. Thank you for visiting!

๐Ÿฆ๐Ÿ†๐Ÿš” Reinforcement Learning (RL)

  1. Learning RL & MARL (papers in wiki)
  2. Learning SB3
  3. Learning Gym (OpenAI)
  4. Learning PettingZoo Environments
  5. Learning Multi-Armed Bandits
  6. Learning Dynamic Programming (Policy Iteration, Value Iteration)
  7. Learning Monte-Carlo RL
  8. Learning TD-Learning
  9. Gather Game
  10. Template for PL Project
  11. DQN (variant 2, variant 3)
  12. REINFORCE (variant 2, variant 3)
  13. A2C (A3C)
  14. PPO (variant 2)
  15. DDPG (variant 2)
  16. SAC

๐Ÿ” ๐Ÿงฌ๐Ÿ’ก Large Language Models (LLMs) + Transformers

  1. Learning MCP + LangGraph
  2. ๐Ÿฆœ๐Ÿ”— Learning Ambient Agents with LangGraph
  3. ๐Ÿค— Learning MCP
  4. ๐Ÿฆœ๐Ÿ”— Learning LangGraph
  5. ๐Ÿค— Learning Agents
  6. ๐Ÿค— Learning LLMs (papers in wiki)
  7. Learning Stanford CS224N: NLP with Deep Learning
  8. Learning GPT with Karpathy

๐Ÿค—๐ŸŽฎโ›น๏ธโ€โ™€๏ธ Spaces

  1. ๐Ÿค— Space: LLM Assistant for MAPF
  2. ๐Ÿค— Space: Agent Control with Language
  3. ๐Ÿค— Space: Locate All Necessary Addresses on the Google Map By Couple Clicks
  4. ๐Ÿค— Space: Table of Contents Builder for a big README.md file
  5. ๐Ÿค— Space: My first simple RAG agent
  6. ๐Ÿค— Space: Final Assignment of the HuggingFaceโ€™s Agent Course

Other projects: (๐Ÿค— Space Draft)

๐Ÿฆ๐ŸฆŠ๐Ÿน Multi-Agent Systems (MAS) & Multi-Agent Path Finding (MAPF)

๐Ÿ“ˆ Machine Learning (ML) and Deep Learning (DL)

TODO: Genetic Algorithms, GANs, Regression, Logistic Regression, K-Nearest Neighbors, Naive Bayes, Support Vector Machines (SVM), Monte Carlo Tree Search (MCTS) (source 1), Decision Tree, Random Forest, AdaBoost, Gradient Boost, CatBoost, XGBoost, LightGBM, Graph NN (source 1 - DGL, source 2)

๐Ÿ” Classical Search/Planning

๐Ÿš— Robotics

๐Ÿ’ต Trading

Previous Projects

Other Projects

๐Ÿ”ฅ๐Ÿ๐Ÿ”ฅ PyTorch

๐Ÿ›๏ธ Skills

๐Ÿ Python

๐Ÿ–ฅ๏ธ WEB

๐ŸŽ“ University Projects

Studying

Teaching

WEB Course
Lectures
IOT Course

๐ŸŒ Competitions

๐Ÿ“ Others

Usefull Links ๐ŸŒ
Mastering Markdown link
Emoji Cheat Sheet link
Theme of the Page link
GitHub Pages Site link
GitHub Pages Docs link
Budges in GitHub README link

๐Ÿ’ป RL and MARL Environments (Existing in the World)

Single-Agent RL

Multi-Agent RL

Mixed & Others

๐Ÿ’Ž RL and MARL Implementations (Existing in the World)

๐Ÿ—บ MAPF Benchmarks and Envs

๐ŸŽฅ Important Videos