👶 15
🎓 High School Student | Aspiring AI Researcher & Game Developer
🚀 Interested in Artificial Intelligence, Reinforcement Learning, and Game Development
🧠 Currently learning C++, Python, Unreal Engine, and Machine Learning
- Building AI and game development projects from scratch
- Exploring Multi-Agent Reinforcement Learning and emergent communication
- Passionate about combining AI + interactive simulations
- Working toward a future career in Artificial Intelligence research
🔗 https://github.com/Arahan-kujur/marl-emergent-communication
A research framework exploring emergent communication in Multi-Agent Reinforcement Learning environments.
The project investigates how agents develop communication protocols under cooperation, competition, and uncertainty using reinforcement learning methods inspired by public-goods game dynamics and signaling theory.
🔗 https://github.com/Arahan-kujur/premature-commitment-paper
Research investigating premature convergence and commitment behaviors in learning agents and decision systems.
The work studies how early policy locking affects long-term adaptability, generalization, and exploration efficiency in intelligent systems.
🔗 https://github.com/Arahan-kujur/interpretability-under-shift
Research project studying model interpretability when machine learning systems encounter distributional or environmental shifts.
The goal is to analyze reliability and explanation stability when models operate outside training conditions.
🔗 https://github.com/Arahan-kujur/choice-between-partial-trajectories-reproduction
A research-oriented reinforcement learning study examining agent decision-making when only partial trajectory information is available.
The project explores behavioral reconstruction and preference learning from incomplete observations.
🔗 https://github.com/Arahan-kujur/aegis-core
Core system architecture for experimental intelligent-agent infrastructure focused on modularity, safety, and scalable decision pipelines.
Designed as a foundational framework supporting secure agent interaction and extensible AI experimentation environments.
🔗 https://github.com/Arahan-kujur/argus-core
Monitoring and analysis subsystem designed to complement intelligent agent frameworks by enabling observation, evaluation, and system-level diagnostics.
Focused on tracking agent behavior, performance signals, and runtime interpretability.
- Python
- C++
- Artificial Intelligence
- Reinforcement Learning
- Game Development
- Simulation Systems
- Email: kujurarahan@gmail.com
- LinkedIn: https://linkedin.com/in/Arahan-kujur
- Portfolio: arahankujur.com
⭐ Always building, always learning.