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..
Cross-Domain Policy Adaptation by Capturing Representation Mismatch
Authors: Jiafei Lyu, Chenjia Bai, Jing-Wen Yang, Zongqing Lu, Xiu Li
ICML 2024 | Venue PDF | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | We conduct extensive experiments on environments with kinematic and morphology mismatch, and the results show that our method exhibits strong performance on many tasks. |
| Researcher Affiliation | Collaboration | 1Tsinghua Shenzhen International Graduate School, Tsinghua University 2Shanghai Artificial Intelligence Laboratory 3Tencent IEG 4School of Computer Science, Peking University 5Beijing Academy of Artificial Intelligence. |
| Pseudocode | Yes | Algorithm 1 PAR (Abstracted Version) |
| Open Source Code | Yes | Our code is publicly available at https://github.com/dmksjfl/PAR. |
| Open Datasets | Yes | We use four environments (halfcheetah, hopper, walker, ant) from Open AI Gym (Brockman et al., 2016) as source domains |
| Dataset Splits | No | The paper does not explicitly provide training/test/validation dataset splits, such as percentages or sample counts for each split, or reference predefined splits with citations for reproducibility. |
| Hardware Specification | Yes | CPU AMD EPYC 7452 GPU RTX3090 8 Memory 288GB |
| Software Dependencies | No | The paper mentions software like Open AI Gym, D4RL, SAC, DARC, VGDF, CQL, and the Adam optimizer, but does not provide specific version numbers for these software components or libraries. |
| Experiment Setup | Yes | Table 2. Detailed hyperparameter setup for PAR and baseline methods on the evaluated tasks. |