ACT policy trained on 500 chess moves dataset for 40k steps
Model Details
Checkpoint: 040000
Architecture: ACT Policy
Observation Steps: 1
Action Steps: 100
Training Dataset: dopaul/500_chess_moves
Usage
python
1from lerobot.common.policies.factory import make_policy
23# Load the policy4policy = make_policy.from_pretrained("dopaul/500_chess_moves_act_40k")56# Use for inference7action = policy.select_action(observation)
Training Details
This model was trained using the LeRobot framework and uploaded from checkpoint 040000.
