{
  "name": "EVChargeEnv",
  "description": "An EV charging optimization benchmark environment for testing agents under dynamic prices and variable grid load.",
  "version": "0.1.0",
  "task_type": "continuous_control",
  "domain": "energy_ev_charging",
  "observation_space": {
    "type": "Box",
    "shape": [4],
    "components": [
      "charge_level (0-1)",
      "price (0-1)",
      "grid_load (0-1)",
      "time_step_norm (0-1)"
    ]
  },
  "action_space": {
    "type": "Box",
    "shape": [1],
    "description": "continuous charging rate in [0, 1]"
  },
  "scenarios": ["easy", "medium", "hard"],
  "reward_components": [
    "progress_reward (battery increase)",
    "cost_penalty (price * charge_rate)",
    "overload_penalty (high grid load + high charging)",
    "time_penalty (encourages faster completion)"
  ],
  "termination_conditions": [
    "battery full (charge_level >= 1.0)",
    "maximum step count reached"
  ],
  "evaluation_output": {
    "format": "json",
    "fields": ["avg_reward", "avg_steps", "episodes"]
  }
}