rllm: rLLM is an open-source framework designed for post-training language agents using reinforcement learning. It allows users to easily build, train, and deploy custom agents and environments for real-world workloads.; gym-pybullet-drones: gym-pybullet-drones is a minimalist refactoring of its original repository, providing a Gym environment for simulating multi-agent quadcopter control. It is designed for compatibility with Gymnasium, Stable Baselines3 2.0, and various flight firmwares for hardware-in-the-loop simulation.
Training powerful coding models for tasks like code generation and bug fixing.
Developing and evaluating PID controllers for quadcopter flight