
Neural Networks and Reinforcement Learning: Practical Workshop Materials
Workshop materials covering PD control baselines, MLP policy imitation, double pendulum stabilization, gait generation, reward shaping, and lightweight environment wrappers.

Workshop materials covering PD control baselines, MLP policy imitation, double pendulum stabilization, gait generation, reward shaping, and lightweight environment wrappers.
A practical system for streaming, processing, and visualizing human pose data using deep learning, quaternion processing, and a web-based 3D skeleton viewer.
An in-depth look at pystringbuilder’s design, features, benchmarks, usage examples, testing strategy, and future roadmap.