RSIGym: A Flexible Environment for Recursive Self-Improvement
RSIGym creates an agent-native research environment using Everything as a Service (EaaS). Agents can investigate individual interventions or jointly optimize data, training settings, and execution harnesses within one system. This allows agents to iteratively improve models through a continuous loop of proposing, training, evaluating, and revising changes.