{
  "model_type": "MultiModalHackVAE",
  "framework": "PyTorch",
  "task": "representation-learning",
  "dataset": "NetHack Learning Dataset",
  "latent_dim": 96,
  "lowrank_dim": 0,
  "architecture": "Multi-modal Variational Autoencoder for NetHack game states",
  "author": "Xu Chen",
  "description": "Advanced NetHack VAE",
  "tags": [
    "nethack",
    "reinforcement-learning",
    "multimodal",
    "world-modeling",
    "vae"
  ],
  "use_cases": [
    "Game state representation learning",
    "RL agent state abstraction",
    "NetHack gameplay analysis"
  ],
  "training_config": {
    "epochs": 15,
    "batch_size": 32,
    "max_learning_rate": 0.001,
    "sequence_size": 32,
    "shuffle_batches": true,
    "shuffle_within_batch": true,
    "vae_config": {
      "latent_dim": 96,
      "encoder_dropout": 0.1,
      "decoder_dropout": 0.1,
      "initial_mi_beta": 1.0,
      "final_mi_beta": 1.0,
      "mi_beta_shape": "constant",
      "initial_tc_beta": 0.0,
      "final_tc_beta": 10.0,
      "tc_beta_shape": "custom",
      "initial_dw_beta": 0.2,
      "final_dw_beta": 1.0,
      "dw_beta_shape": "custom",
      "warmup_epoch_ratio": 0.2,
      "free_bits": 0.75,
      "focal_loss_alpha": 0.5,
      "focal_loss_gamma": 2.0
    },
    "adaptive_weighting": {
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      "final_mi_beta": 1.0,
      "mi_beta_shape": "constant",
      "initial_tc_beta": 0.0,
      "final_tc_beta": 10.0,
      "tc_beta_shape": "custom",
      "initial_dw_beta": 0.2,
      "final_dw_beta": 1.0,
      "dw_beta_shape": "custom",
      "warmup_epoch_ratio": 0.2
    },
    "regularization": {
      "encoder_dropout": 0.1,
      "decoder_dropout": 0.1,
      "free_bits": 0.75,
      "focal_loss_alpha": 0.5,
      "focal_loss_gamma": 2.0
    },
    "early_stopping": {
      "enabled": false,
      "patience": 3,
      "min_delta": 0.01,
      "triggered": false,
      "best_epoch": null
    }
  },
  "final_train_loss": 980.7457598876953,
  "final_test_loss": 990.1863067626953,
  "best_train_loss": 980.7457598876953,
  "best_test_loss": 985.553515625,
  "total_epochs": 15
}