---
library_name: lerobot
tags:
- act
- pusht
- reinforcement-learning
- robot
---

# ACT Policy for pusht

This model was trained using [LeRobot](https://github.com/huggingface/lerobot).

## Model Details
- **Repository**: [vvrs/act-pusht](https://huggingface.co/vvrs/act-pusht)
- **Policy Type**: act
- **Environment**: pusht

## Hyperparameters
- **n_action_steps**: 10
- **chunk_size**: 50
- **dim_model**: 512
- **n_encoder_layers**: 4
- **dropout**: 0.1
- **kl_weight**: 0.26090695687163257
- **optimizer_lr**: 7.765556097859912e-05

## Usage

```python
from lerobot.common.policies.act.modeling_act import ACTPolicy
from lerobot.common.policies.act.configuration_act import ACTConfig

# Load the policy from the Hub
policy = ACTPolicy.from_pretrained("vvrs/act-pusht")

# Use the policy for inference...
```