openenv.yaml

name: "flight-rebooking-openenv"
version: "2.0.0"
description: "Real-world airline disruption simulator with typed OpenEnv models and deterministic task graders."
author: "Hackathon Team"
license: "MIT"
python_version: "3.10"
entrypoint: "environment:FlightRebookingEnv"

models:
  observation: "environment:Observation"
  action: "environment:Action"
  reward: "environment:Reward"

api:
  reset: "FlightRebookingEnv.reset"
  step: "FlightRebookingEnv.step"
  state: "FlightRebookingEnv.state"

tasks:
  - key: "easy"
    id: "easy_minor_disruption"
    difficulty: "easy"
    grader: "tasks:grade_easy_episode"
    objective: "Rebook all passengers with minimal spend."
  - key: "medium"
    id: "medium_connection_crisis"
    difficulty: "medium"
    grader: "tasks:grade_medium_episode"
    objective: "Save urgent connections while honoring tier priority."
  - key: "hard"
    id: "hard_multi_wave_disruption"
    difficulty: "hard"
    grader: "tasks:grade_hard_episode"
    objective: "Optimize across loyalty, deadlines, and budget scarcity."

tags:
  - openenv
  - airline-operations
  - decision-making
  - logistics
  - reinforcement-learning
  - huggingface-space