AI Water Polo Simulation
RL environment to study gameplay strategy and decision‑making.
A custom environment to explore team coordination, policy learning, and evaluation for aquatic sports. Focus areas include observation design, sparse rewards, curriculum learning, and sim realism.
- Stack: Python, PyTorch, Gym‑style API, MuJoCo/Isaac for physics
- Topics: MARL, credit assignment, curriculum, evaluation