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dopaul/
500_chess_moves_act_80k

Name: 500_chess_moves_act_80k
Availability: InStock

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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

python

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