Graduate Research Assistant
California State University - Long Beach
Role
Graduate Research Assistant
- Timeline
- September 2024 - Present
Concepts
- Multi-agent Reinforcement Learning
- Reward Shaping
- Data Analysis
- Research Collaboration
Technologies
- Unity
- C#
- Python
Key Responsibilities
- Applied multi-agent reinforcement learning to develop an improved path-finding system for simulations
- Designed and tested Unity simulations in C# to enhance AI decision-making and coordination
- Applied machine learning to train agents for complex tasks and optimize their behavior
- Collaborated on reports and contributed to academic discussions, enhancing the quality of research outputs
Notable Achievements
- Improved multi-agent reinforcement learning performance through reward shaping techniques inspired by video game design principles
- Demonstrated coordinated behavior among multiple agents in Unity simulations, validating reinforcement learning strategies for complex tasks