README.md

---
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")
```