This repository provides implementations of state-of-the-art and classic reinforcement learning algorithms for training agents. It supports both single-agent and multi-agent scenarios, integrating with Unity ML-Agents and OpenAI Gym as environment backends. The framework is designed for stable, production-ready RL implementations while enabling rapid prototyping of new algorithms.