Vanilla Agents is a lightweight PyTorch-based framework that delivers modular and extensible implementations of core reinforcement learning agents. It supports algorithms like DQN, Double DQN, PPO, and A2C, with pluggable environment wrappers compatible with OpenAI Gym. Users can configure hyperparameters, log training metrics, save checkpoints, and visualize learning curves. The codebase is organized for clarity, making it ideal for research prototyping, educational use, and benchmarking new ideas in RL.

StaticBlocks is a comprehensive solution for developers looking to streamline their code management processes. By allowing the creation and customization of reusable code blocks, it reduces redundancy and enhances efficiency. Users can drag and drop blocks into their projects, customize them to fit specific needs, and ensure consistency across the codebase. This tool is designed to make coding more accessible and maintainable, ultimately saving time and reducing errors.