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README.md

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+---
+language: en
+tags:
+- decision-transformer
+- reinforcement-learning
+- hierarchical-learning
+- hopper
+license: mit
+---
+
+# Hierarchical Decision Transformer for Hopper
+
+This model extends the Decision Transformer architecture with hierarchical clustering capabilities for improved long-horizon task performance on the Hopper-v3 environment.
+
+## Model Description
+
+- **Model Type:** Hierarchical Decision Transformer
+- **Training Environment:** Hopper-v3
+- **Input:** State observations (11 dimensions), desired returns
+- **Output:** Actions (3 dimensions)
+- **Architecture Features:**
+  - Hierarchical clustering head for subtask identification
+  - Subgoal-based weighting
+  - Multi-task capabilities
+
+## Usage
+
+```python
+from transformers import DecisionTransformerModel
+model = DecisionTransformerModel.from_pretrained("anna4142/hierarchical-decision-transformer")
+```

config.json

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+{
+  "act_dim": 3,
+  "action_tanh": true,
+  "activation_function": "relu",
+  "architectures": [
+    "TrainableDT"
+  ],
+  "attn_pdrop": 0.1,
+  "bos_token_id": 50256,
+  "embd_pdrop": 0.1,
+  "eos_token_id": 50256,
+  "hidden_size": 128,
+  "initializer_range": 0.02,
+  "layer_norm_epsilon": 1e-05,
+  "max_ep_len": 4096,
+  "model_type": "decision_transformer",
+  "n_head": 1,
+  "n_inner": null,
+  "n_layer": 3,
+  "n_positions": 1024,
+  "reorder_and_upcast_attn": false,
+  "resid_pdrop": 0.1,
+  "scale_attn_by_inverse_layer_idx": false,
+  "scale_attn_weights": true,
+  "state_dim": 11,
+  "torch_dtype": "float32",
+  "transformers_version": "4.46.2",
+  "use_cache": true,
+  "vocab_size": 1
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:7c9445590e753ce9c656435bf1b414567f444e7ef00d4c6befe58c83812851f3
+size 5025196