Projects
Adversarial Multi-Agent RL Framework in IsaacLab
A scalable framework for heterogeneous multi-agent adversarial RL in high-fidelity simulation.
Stack: Isaac Lab, PyTorch, Adversarial RL, Multi-Agent RL
Fast CV Detection for Cold Atom Cloud Experiments
Computer vision models delivering ~80× speedup for cold atom cloud detection; large-scale cloud training workflow.
Stack: Computer Vision, PyTorch, GCP, Data Pipelines
Heterogeneous Multi-Agent Learning in Isaac Lab
Scalable multi-agent learning workflows in Isaac Lab for coordinated robotic collaboration.
Stack: Isaac Lab, PyTorch, Multi-Agent RL, Simulation
RL + Java Server Pipeline for EV Charger Placement
Reinforcement learning client + Java server pipeline for optimization-driven EV charger placement.
Stack: Python, Java, RL, Optimization