| name: KaggleSimEnv |
| version: "3.0.0" |
| description: > |
| Production-grade OpenEnv RL environment simulating Kaggle competitions. |
| Features hierarchical action categories, causal dataset properties, |
| failure-mode traps, contextual strategy scoring, and 50+ advanced strategies. |
| |
| author: OpenEnv Hackathon Team |
| license: MIT |
|
|
| environment: |
| module: kaggle_sim_env.environment |
| class: KaggleSimEnv |
|
|
| api: |
| framework: fastapi |
| module: server.app |
| app: app |
| port: 7860 |
|
|
| action_space: |
| types: 14 |
| techniques: 60+ |
| hierarchical: true |
| format: '{"action_type": "...", "parameters": {"category": "...", "<key>": "..."}}' |
|
|
| tasks: |
| - id: easy_churn |
| difficulty: easy |
| failure_modes: 3 |
| combos: 2 |
| - id: medium_fraud |
| difficulty: medium |
| failure_modes: 3 |
| combos: 3 |
| - id: hard_leaky_noisy |
| difficulty: hard |
| failure_modes: 4 |
| combos: 4 |
| - id: image_quality |
| difficulty: hard |
| failure_modes: 2 |
| combos: 4 |
| - id: trajectory_pred |
| difficulty: hard |
| failure_modes: 2 |
| combos: 4 |
|
|
| grader: |
| module: kaggle_sim_env.grader |
| class: Grader |
| score_range: [0.0, 1.0] |
| weights: |
| performance: 0.40 |
| strategy: 0.25 |
| combo: 0.20 |
| trap_avoidance: 0.15 |
|
|
| reward: |
| components: |
| - cv_improvement |
| - strategy_bonus |
| - context_bonus |
| - combo_bonus |
| - redundancy_penalty |
| - irrelevant_penalty |
| - trap_penalty |
| - overfitting_penalty |
| - submission_bonus |
|
|
| baseline: |
| script: baseline/run_baseline.py |
| approach: structured_phases_with_hints |
| requires: |
| - OPENAI_API_KEY |
|
|
| docker: |
| port: 7860 |
| dockerfile: Dockerfile |
|
|
