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Add demo script, API endpoints, and training notebook baselines
- Add demo.py: standalone heuristic agent for full 6-quarter episodes (CLI + JSON API, no LLM key required) - Add /demo, /hyperparameters, /scenarios API endpoints to HF Space - Update Dockerfile to include demo.py and agent/ directory - Enhance training notebook with baseline comparisons and reward curves: - Random baseline (5 seeds, ~0.15-0.25 floor) - Heuristic baseline via /demo API (~0.50-0.65 target) - Reward + loss curve plotting after GRPO training - Before/after evaluation on same seeds - Results summary with bar charts and JSON export Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>80d9920 -
Initial release: HCM:21 HR Productivity Measurement Environment
OpenEnv-compliant simulation for evaluating LLM agents on long-horizon HR decision-making using Fitz-enz frameworks (HCVA, HCROI, QIPS, Five Indexes of Change). 6-quarter episodes with 150-200+ steps, stochastic events, and cross-quarter dependencies. Includes: - Full environment (company sim, employee lifecycle, metrics, scoring) - HCM:21 phase system (Scanning/Planning/Producing/Controlling) - 4 task scenarios (high turnover, budget cuts, rapid growth, balanced) - Sample Claude-based agent with phase-aware prompting - 43 passing unit tests - Docker + OpenEnv manifest for competition submission Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>8697ae6