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NathanGavenski
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How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts

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Size Categories: 100B<n<1T
Language Creators: expert-generated
Annotations Creators: machine-generated
Source Datasets: original
Tags: Imitation Learning Expert Trajectories Classic Control
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The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    FileNotFoundError
Message:      Couldn't find a dataset script at /src/services/worker/NathanGavenski/How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts/How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts.py or any data file in the same directory. Couldn't find 'NathanGavenski/How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in NathanGavenski/How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts. 
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 55, in compute_config_names_response
                  for config in sorted(get_dataset_config_names(path=dataset, token=hf_token))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/inspect.py", line 351, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/load.py", line 1508, in dataset_module_factory
                  raise FileNotFoundError(
              FileNotFoundError: Couldn't find a dataset script at /src/services/worker/NathanGavenski/How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts/How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts.py or any data file in the same directory. Couldn't find 'NathanGavenski/How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts' on the Hugging Face Hub either: FileNotFoundError: No (supported) data files or dataset script found in NathanGavenski/How-Resilient-are-Imitation-Learning-Methods-to-Sub-Optimal-Experts.

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How Resilient are Imitation Learning Methods to Sub-Optimal Experts?

Related Work

Trajectories used in How Resilient are Imitation Learning Methods to Sub-Optimal Experts? The code that uses this data is on GitHub: https://github.com/NathanGavenski/How-resilient-IL-methods-are

Structure

These trajectories are formed by using Stable Baselines. Each file is a dictionary of a set of trajectories with the following keys:

  • actions: the action in the given timestamp t
  • obs: current state in the given timestamp t
  • rewards: reward retrieved after the action in the given timestamp t
  • episode_returns: The aggregated reward of each episode (each file consists of 5000 runs)
  • episode_Starts: Whether that obs is the first state of an episode (boolean list)

Citation Information 

@inproceedings{gavenski2022how,
  title={How Resilient are Imitation Learning Methods to Sub-Optimal Experts?},
  author={Nathan Gavenski and Juarez Monteiro and Adilson Medronha and Rodrigo Barros},
  booktitle={2022 Brazilian Conference on Intelligent Systems (BRACIS)},
  year={2022},
  organization={IEEE}
}

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