openenv.yaml

name: wildfire-containment-simulator
version: "1.0.0"
description: >
  A grid-based wildfire propagation simulator where an AI agent dispatches
  limited firefighting resources (ground crews, air tankers, firebreaks) to
  contain an evolving fire before it reaches populated zones. Features
  Rothermel-inspired fire spread, wind-driven dynamics, smoke-based partial
  observability, and multi-objective reward balancing containment, population
  safety, resource efficiency, speed, and area preservation.

author: Team Wildfire
license: MIT

environment:
  class: env.wildfire_env.WildfireEnv
  api:
    reset:
      description: "Initialize environment for a new episode"
      parameters:
        task_id:
          type: string
          enum: [easy, medium, hard]
          default: easy
        seed:
          type: integer
          default: 42
      returns: Observation
    step:
      description: "Execute one simulation step with the given action"
      parameters:
        action: Action
      returns: StepResult
    state:
      description: "Return full ground-truth state for grading (not for agent use)"
      returns: dict

action_space:
  type: object
  description: "One action per step. Seven action types with typed parameters."
  properties:
    action_type:
      type: string
      enum:
        - deploy_crew
        - move_crew
        - order_crew_objective
        - drop_retardant
        - build_firebreak
        - recon_flight
        - idle
    crew_id:
      type: string
      description: "Required for deploy_crew, move_crew, build_firebreak, order_crew_objective"
    tanker_id:
      type: string
      description: "Required for drop_retardant"
    target_row:
      type: integer
      description: "Required for deploy_crew, drop_retardant, recon_flight"
    target_col:
      type: integer
      description: "Required for deploy_crew, drop_retardant, recon_flight"
    direction:
      type: string
      enum: [N, S, E, W, NE, NW, SE, SW]
      description: "Required for move_crew, build_firebreak"
    objective:
      type: string
      enum:
        - hold
        - advance
        - retreat
        - prioritize_north
        - prioritize_south
        - prioritize_east
        - prioritize_west
      description: "Required for order_crew_objective. Persistent directive that biases the crew's local policy until changed."
    reason:
      type: string
      description: "Optional reason string for idle action"

observation_space:
  type: object
  properties:
    grid:
      type: array
      description: "2D array of CellObservation with fire_state, intensity_bin, smoke, population, crew presence"
    weather:
      type: object
      properties:
        wind_speed_kmh: { type: number }
        wind_direction_deg: { type: number }
        humidity_pct: { type: number }
        rain_active: { type: boolean }
    resources:
      type: object
      properties:
        crews: { type: array, description: "List of CrewState (id, position, deployed, active)" }
        tankers: { type: array, description: "List of TankerState (id, cooldown, active)" }
        firebreak_budget: { type: integer }
        recon_budget: { type: integer }
    stats:
      type: object
      properties:
        cells_burned: { type: integer }
        cells_burning: { type: integer }
        population_lost: { type: integer }
        containment_pct: { type: number }
        current_step: { type: integer }
        max_steps: { type: integer }
    recent_events:
      type: array
      items: { type: string }
      maxItems: 5

reward:
  type: number
  minimum: -8.0
  maximum: 8.0
  description: >
    Decomposed reward: dense per-step signal (delta_containment * 0.4 +
    delta_pop_safety * 0.4) plus sparse terminal reward on episode end
    (+5 all-pop-safe, +0-2 efficiency bonus, +1 briefing adherence,
    -3*loss_pct if pop lost, -2 crew casualty). Designed for GRPO training.

tasks:
  - id: easy
    name: "Flatland Grass Fire"
    description: "15x15 flat grid, single ignition, constant wind, no noise. Learn basic containment."
    difficulty: easy
    episode_length: 80

  - id: medium
    name: "Canyon Terrain with Wind Shifts"
    description: "25x25 mixed terrain, two ignition points, variable wind, smoke occlusion, sensor noise."
    difficulty: medium
    episode_length: 150

  - id: hard
    name: "Wildland-Urban Interface Crisis"
    description: "40x40 complex terrain, three staggered ignitions, fog-of-war, crew loss, node failures."
    difficulty: hard
    episode_length: 300

baseline:
  script: scripts/evaluate.py
  agents:
    - name: random
      class: agents.random_agent.RandomAgent
    - name: heuristic
      class: agents.heuristic_agent.HeuristicAgent