Reinforcement Learning
Transformers
Hopper-v5
decision-transformer
deep-reinforcement-learning
custom-implementation
Instructions to use SriramSohan/hopper-v5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SriramSohan/hopper-v5 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("SriramSohan/hopper-v5", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Decision Transformer for Hopper-v5
This is a trained Decision Transformer model for the Hopper-v5 environment.
Model Details
- Environment: Hopper-v5
- Model: Decision Transformer
- Training framework: PyTorch
Hyperparameters
{ "max_ep_len": 1000, "state_dim": 11, "act_dim": 3, "target_return": 3.6 }
Video Preview
The model demonstrates the hopping behavior learned through Decision Transformer training.