RLGods
An OpenEnv-compatible RL environment that simulates enterprise HR onboarding and offboarding workflows.
Core trick
Exposes 25 tool calls across six mock enterprise apps as an OpenEnv environment with RBAC and approval chains for RL training.
Description
An OpenEnv-compatible RL environment that simulates enterprise HR onboarding and offboarding workflows. The agent orchestrates across 6 enterprise apps — Workday, ServiceNow, Okta, Email, Slack, and Calendar — using 25 tools to complete multi-step tasks in a realistic HR system (200+ employees, 8 departments, RBAC, approval chains).
README excerpt
# HR Onboarding & Offboarding Environment ### 🏆 **Winner - ScaleAI Enterprise Track** at the OpenEnv Hackathon SF [](https://colab.research.google.com/github/ravi03071991/rl_hack/blob/master/train_hr_agent.ipynb) An OpenEnv-compatible RL environment that simulates enterprise HR onboarding and offboarding workflows. The agent orchestrates across **6 enterprise apps** — Workday, ServiceNow, Okta, Email, Slack, and Calendar — using 25 tools to complete multi-step tasks in a realistic HR system (200+ employees, 8 departments, RBAC, approval chains). Built for the [OpenEnv Hackathon SF](https://cerebralvalley.ai/e/openenv-hackathon-sf/details) — **Statement 3.1: Professional Tasks** (Scaler AI Labs partner theme: Multi-App RL Environment for Enterprise Workflows). ### Key Results > **GRPO training on Llama 3.2-1B-Instruct improves mean task score by +67% (0.37 → 0.62).** > Complex multi-step task scores **more than double** (0.26 → 0.68). Gains generalize to held-out test tasks. | | Baseline | Trained | Improvement | |---|---------|---------|-------------| | Mean Score | 0.370 | 0.617 | **+67%** | | Complex Tasks | 0.26 | 0.68 | **+162%** | | Pass Rate | 15.4% | 19.2% | +3.8pp | ### Example: Complex Onboarding Task > **Task:** "Fully onboard John Lee as L3 Team Lead in Data Science. Create employee record, assign a laptop, provision accounts, set up access roles, send welcome email, and schedule ori