~/projects/ai-simulation-platform
AI Simulation Platform
Reinforcement learning in Unity
UnityC#PythonML-AgentsPPOPyTorch
$ overview
A modular Unity environment for training reinforcement-learning agents end-to-end — environment, reward shaping, training pipeline, and analysis.
Wrote production-grade C# for the environment side and clean Python on the training side, with TensorBoard wired in for run comparison.
$ highlights
- Built a modular Unity ML-Agents environment with configurable reward systems and state observations.
- Tuned PPO hyperparameters across experiments to improve learning stability.
- Production-style C# integrated cleanly with Python training pipelines.