Description
Experiments with reinforcement learning can test framework ideas without building every training loop from scratch. This proof-of-concept package is aimed at developers and researchers evaluating APIs and algorithms rather than production users.
It is imported from Python code and may run training workloads chosen by the caller. Results should be treated as experimental; review data, compute cost, and model behavior before relying on them.