[
  {
    "scenario": "diamond-like",
    "difficulty": "easy",
    "final_reward": 0.298,
    "best_reward": 0.5909,
    "steps": 25,
    "phase": "amorphous",
    "total_cost": 132.0,
    "cost_budget": 120.0,
    "agent_type": "heuristic",
    "reward_trace": [
      0.3274,
      0.4317,
      0.5129,
      0.5305,
      0.5739,
      0.5537,
      0.553,
      0.5537,
      0.5434,
      0.5363,
      0.5437,
      0.5285,
      0.5288,
      0.5362,
      0.5406,
      0.5909,
      0.5786,
      0.5721,
      0.4795,
      0.4327,
      0.394,
      0.3492,
      0.3188,
      0.3026,
      0.298
    ]
  },
  {
    "scenario": "diamond-like",
    "difficulty": "medium",
    "final_reward": 0.2601,
    "best_reward": 0.5739,
    "steps": 25,
    "phase": "amorphous",
    "total_cost": 104.0,
    "cost_budget": 80.0,
    "agent_type": "heuristic",
    "reward_trace": [
      0.3274,
      0.4317,
      0.5129,
      0.5305,
      0.5739,
      0.5537,
      0.553,
      0.5537,
      0.5434,
      0.5363,
      0.5437,
      0.5285,
      0.4716,
      0.421,
      0.3585,
      0.3156,
      0.3095,
      0.3115,
      0.2975,
      0.2891,
      0.2854,
      0.3275,
      0.3199,
      0.3175,
      0.2601
    ]
  },
  {
    "scenario": "diamond-like",
    "difficulty": "hard",
    "final_reward": 0.3091,
    "best_reward": 0.5739,
    "steps": 25,
    "phase": "polycrystalline",
    "total_cost": 90.0,
    "cost_budget": 60.0,
    "agent_type": "heuristic",
    "reward_trace": [
      0.3274,
      0.4317,
      0.5129,
      0.5305,
      0.5739,
      0.5537,
      0.553,
      0.5537,
      0.5434,
      0.451,
      0.3776,
      0.3143,
      0.2928,
      0.2931,
      0.2873,
      0.274,
      0.2744,
      0.275,
      0.2715,
      0.2708,
      0.2678,
      0.2705,
      0.2669,
      0.3179,
      0.3091
    ]
  },
  {
    "scenario": "conductor",
    "difficulty": "easy",
    "final_reward": 0.8032,
    "best_reward": 0.8201,
    "steps": 12,
    "phase": "polycrystalline",
    "total_cost": 72.0,
    "cost_budget": 120.0,
    "agent_type": "heuristic",
    "reward_trace": [
      0.311,
      0.5599,
      0.7332,
      0.8084,
      0.7864,
      0.7694,
      0.7812,
      0.795,
      0.7712,
      0.7708,
      0.8201,
      0.8032
    ]
  },
  {
    "scenario": "conductor",
    "difficulty": "medium",
    "final_reward": 0.5924,
    "best_reward": 0.8201,
    "steps": 25,
    "phase": "polycrystalline",
    "total_cost": 102.0,
    "cost_budget": 80.0,
    "agent_type": "heuristic",
    "reward_trace": [
      0.311,
      0.5599,
      0.7332,
      0.8084,
      0.7864,
      0.7694,
      0.7812,
      0.795,
      0.7712,
      0.7708,
      0.8201,
      0.8032,
      0.8105,
      0.7462,
      0.7146,
      0.6878,
      0.6599,
      0.6463,
      0.6281,
      0.6566,
      0.587,
      0.5748,
      0.5604,
      0.5491,
      0.5924
    ]
  },
  {
    "scenario": "conductor",
    "difficulty": "hard",
    "final_reward": 0.4473,
    "best_reward": 0.8084,
    "steps": 25,
    "phase": "amorphous",
    "total_cost": 90.0,
    "cost_budget": 60.0,
    "agent_type": "heuristic",
    "reward_trace": [
      0.311,
      0.5599,
      0.7332,
      0.8084,
      0.7864,
      0.7694,
      0.7812,
      0.795,
      0.7712,
      0.7708,
      0.737,
      0.6924,
      0.6651,
      0.6842,
      0.6093,
      0.5907,
      0.6163,
      0.5946,
      0.5345,
      0.518,
      0.5062,
      0.4979,
      0.4804,
      0.4657,
      0.4473
    ]
  },
  {
    "scenario": "heat-shield",
    "difficulty": "easy",
    "final_reward": 0.804,
    "best_reward": 0.8155,
    "steps": 19,
    "phase": "crystalline",
    "total_cost": 80.0,
    "cost_budget": 120.0,
    "agent_type": "heuristic",
    "reward_trace": [
      0.2037,
      0.523,
      0.7096,
      0.7966,
      0.7688,
      0.7414,
      0.7367,
      0.7867,
      0.7579,
      0.7656,
      0.7677,
      0.7546,
      0.7624,
      0.7733,
      0.7645,
      0.765,
      0.7611,
      0.8155,
      0.804
    ]
  },
  {
    "scenario": "heat-shield",
    "difficulty": "medium",
    "final_reward": 0.5841,
    "best_reward": 0.8155,
    "steps": 25,
    "phase": "polycrystalline",
    "total_cost": 92.0,
    "cost_budget": 80.0,
    "agent_type": "heuristic",
    "reward_trace": [
      0.2037,
      0.523,
      0.7096,
      0.7966,
      0.7688,
      0.7414,
      0.7367,
      0.7867,
      0.7579,
      0.7656,
      0.7677,
      0.7546,
      0.7624,
      0.7733,
      0.7645,
      0.765,
      0.7611,
      0.8155,
      0.804,
      0.7235,
      0.6942,
      0.6614,
      0.6353,
      0.6078,
      0.5841
    ]
  },
  {
    "scenario": "heat-shield",
    "difficulty": "hard",
    "final_reward": 0.4009,
    "best_reward": 0.7966,
    "steps": 25,
    "phase": "polycrystalline",
    "total_cost": 82.0,
    "cost_budget": 60.0,
    "agent_type": "heuristic",
    "reward_trace": [
      0.2037,
      0.523,
      0.7096,
      0.7966,
      0.7688,
      0.7414,
      0.7367,
      0.7867,
      0.7579,
      0.7656,
      0.7677,
      0.7546,
      0.7624,
      0.7733,
      0.7286,
      0.6864,
      0.6423,
      0.6078,
      0.5227,
      0.4929,
      0.5188,
      0.4854,
      0.4537,
      0.4281,
      0.4009
    ]
  },
  {
    "scenario": "random",
    "difficulty": "medium",
    "final_reward": 0.6626,
    "best_reward": 0.7,
    "steps": 25,
    "phase": "amorphous",
    "total_cost": 88.0,
    "cost_budget": 80.0,
    "agent_type": "heuristic",
    "reward_trace": [
      0.1944,
      0.4556,
      0.6364,
      0.6804,
      0.6769,
      0.675,
      0.6923,
      0.7,
      0.6924,
      0.6952,
      0.6838,
      0.6746,
      0.6736,
      0.6909,
      0.6921,
      0.6986,
      0.6998,
      0.6892,
      0.6807,
      0.6771,
      0.678,
      0.6769,
      0.6673,
      0.6664,
      0.6626
    ]
  },
  {
    "scenario": "random",
    "difficulty": "easy",
    "final_reward": 0.6793,
    "best_reward": 0.7138,
    "steps": 23,
    "phase": "amorphous",
    "total_cost": 112.0,
    "cost_budget": 120.0,
    "agent_type": "heuristic",
    "reward_trace": [
      0.2869,
      0.4434,
      0.6294,
      0.7138,
      0.6862,
      0.6737,
      0.6822,
      0.685,
      0.6567,
      0.6691,
      0.6688,
      0.6774,
      0.6764,
      0.6733,
      0.6792,
      0.6843,
      0.6811,
      0.6928,
      0.6809,
      0.6829,
      0.6768,
      0.6771,
      0.6793
    ]
  },
  {
    "scenario": "random",
    "difficulty": "hard",
    "final_reward": 0.6022,
    "best_reward": 0.6803,
    "steps": 25,
    "phase": "polycrystalline",
    "total_cost": 88.0,
    "cost_budget": 60.0,
    "agent_type": "heuristic",
    "reward_trace": [
      0.4327,
      0.5164,
      0.6377,
      0.6588,
      0.6785,
      0.6733,
      0.6803,
      0.6747,
      0.6723,
      0.673,
      0.6567,
      0.6542,
      0.6538,
      0.6275,
      0.6229,
      0.6613,
      0.642,
      0.6363,
      0.5839,
      0.5713,
      0.5709,
      0.6158,
      0.6152,
      0.6109,
      0.6022
    ]
  }
]