DeBot.Science is a decentralized platform focused on training and optimizing robotics models for complex environments. Using large-scale reinforcement learning and distributed compute resources, the project aims to develop adaptable, autonomous robots capable of navigating and interacting with challenging terrains, such as simulated Martian surfaces.