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..
Imitation Learning from Observations by Minimizing Inverse Dynamics Disagreement
Authors: Chao Yang, Xiaojian Ma, Wenbing Huang, Fuchun Sun, Huaping Liu, Junzhou Huang, Chuang Gan
NeurIPS 2019 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | Considerable empirical results on challenging benchmarks indicate that our method attains consistent improvements over other Lf O counterparts. |
| Researcher Affiliation | Collaboration | 1 Beijing National Research Center for Information Science and Technology (BNRist), State Key Lab on Intelligent Technology and Systems, Department of Computer Science and Technology, Tsinghua University 2 Center for Vision, Cognition, Learning and Autonomy, Department of Computer Science, UCLA 3 Tencent AI Lab, 4 MIT-IBM Watson AI Lab |
| Pseudocode | Yes | Algorithm 1 Inverse-Dynamics-Disagreement-Minimization (IDDM) |
| Open Source Code | No | The paper does not contain any statement or link indicating that the source code for the described methodology is publicly available. |
| Open Datasets | Yes | To verify the effectiveness of our IDDM, we perform experimental comparisons on seven challenging control tasks, ranging from traditional control to locomotion [8]. |
| Dataset Splits | No | The paper mentions evaluating |
| Hardware Specification | No | The paper does not provide specific details about the hardware (e.g., GPU models, CPU types, memory) used for running the experiments. |
| Software Dependencies | No | The paper mentions using "PPO [32]" and "MINE [4, 14]" but does not provide specific version numbers for these or any other software dependencies. |
| Experiment Setup | No | Due to the space limit, we defer more detailed specifications of all the evaluated tasks into the supplementary material. |