Notice: The reproducibility variables underlying each score are classified using an automated LLM-based pipeline, validated against a manually labeled dataset. LLM-based classification introduces uncertainty and potential bias; scores should be interpreted as estimates. Full accuracy metrics and methodology are described in Coakley et alK. L. Coakley, T. Snelleman, H. Hoos, and O. E. Gundersen, "The embrace of open science: An analysis of a decade of AI research and 56 800 conference papers," Under Review, 2026..

Learning Control by Iterative Inversion

Authors: Gal Leibovich, Guy Jacob, Or Avner, Gal Novik, Aviv Tamar

ICML 2023 | Venue PDF | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental In this section, we evaluate IT-IN on several domains. Our investigation is aimed at studying the unique features of IT-IN and especially, the steering behavior that we expect to observe.
Researcher Affiliation Collaboration 1Intel Labs, Haifa, Israel 2Department of Electrical Engineering, Technion, Haifa, Israel.
Pseudocode Yes Algorithm 1 Iterative Inversion and Algorithm 2 Iterative Inversion for Learning Control
Open Source Code No No explicit statement about releasing the source code for the described methodology or a link to a code repository was found. The provided link (https://sites.google.com/ view/iter-inver) is for videos.
Open Datasets Yes The dataset is from D4RL's hopper-medium-v2 (Fu et al., 2020), and consists of mostly forward hopping behaviors (see Appendix B.3.1).
Dataset Splits Yes When evaluating policies, a validation set of 2,000 trajectories was used, which were unseen during training of the policies.
Hardware Specification No No specific hardware details (GPU/CPU models, memory, etc.) for running the experiments were mentioned.
Software Dependencies No The paper mentions software like "Video GPT (Yan et al., 2021)", "Adam (Kingma & Ba, 2014)", "PPO (Schulman et al., 2017)", and "Kostrikov (2018)" but does not provide specific version numbers for these software components or libraries.
Experiment Setup Yes Table 3 contains a list of common hyperparameter values that we have used for all the experiments. Table 4 contains Particle and Reacher-v2 specific hyperparameters, while Table 5 is listing Hopper-v2 specific hyperparameters.