metadata
license: cc-by-4.0
tags:
- robotics
- imitation-learning
- behavior-cloning
- flow-matching
Flow Matching — Double Insert (sim)
Behavior-cloning / flow-matching policy checkpoints for the simulated double-insert task, across multiple DAgger-style rounds.
Contents
This repository contains 36 PyTorch checkpoints (.pth), totaling roughly 164G.
Each subdirectory corresponds to one training run, named as:
<run-name>_seed<seed>_<timestamp>/epoch_<N>.pth
Some runs include multiple epochs.
Usage
import torch
state = torch.load("epoch_99.pth", map_location="cpu")
License
Released under CC BY 4.0.