RL Environment
RL Environments and Agents
Custom RL environments and verifier design for training and evaluating agentic models.
Surge · 100% completeCompany-reported
Custom rubric and verifier design for scoring complex model and agent behavior.
Surge describes designing grading systems that capture both successful behavior and deficiencies for outputs that cannot be evaluated with simple automatic checks.
Only evidenced capabilities are shown as Yes. Missing evidence remains Unknown.
Custom RL environments and verifier design for training and evaluating agentic models.
Human preference and reward data for reinforcement learning from human feedback.
Expert demonstrations for bootstrapping model capabilities, including computer and browser use.