January 1st (architect)

January 1st (architect) is an open-source Python library designed for building, configuring, and managing reinforcement learning (RL) experiments efficiently. It provides tools to organize complex RL workflows, define custom environments, and automate training processes. By streamlining experiment setup and tracking, it enables researchers to focus on developing RL algorithms without getting bogged down in repetitive configurations. Overall, January 1st (architect) helps make RL research more scalable, reproducible, and manageable.