500_chess_moves_act_80k

ACT policy trained on 500 chess moves dataset for 80k steps

Model Details

• Checkpoint: 080000
• Architecture: ACT Policy
• Observation Steps: 1
• Action Steps: 100
• Training Dataset: dopaul/500_chess_moves

Usage

from lerobot.common.policies.factory import make_policy

# Load the policy
policy = make_policy.from_pretrained("dopaul/500_chess_moves_act_80k")

# Use for inference
action = policy.select_action(observation)

Training Details

This model was trained using the LeRobot framework and uploaded from checkpoint 080000.

For more information about LeRobot, visit: https://github.com/huggingface/lerobot