Learning Continuous Environment Fields via Implicit Functions
Authors: Xueting Li, Shalini De Mello, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz, Sifei Liu
ICLR 2022 | Conference PDF | Archive PDF | Plain Text | LLM Run Details
| Reproducibility Variable | Result | LLM Response |
|---|---|---|
| Research Type | Experimental | 5 EXPERIMENTS", "We evaluate the proposed environment field on agent navigation in 2D mazes (Section 5.2) and compare with the VIN (Tamar et al., 2016). For dynamic human motion modeling in 3D scenes (Section 5.3), we compare with the HMP (Cao et al., 2020) and continuous samplingbased methods RRT (Bry & Roy, 2011) and PRM (Kavraki et al., 1996). |
| Researcher Affiliation | Collaboration | Xueting Li1, Shalini De Mello2, Xiaolong Wang3, Ming-Hsuan Yang1, Jan Kautz2, and Sifei Liu2 1UC Merced 2NVIDIA 3UC San Diego |
| Pseudocode | Yes | Algorithm 1 Multiple humans navigation. |
| Open Source Code | No | We plan to release the code. |
| Open Datasets | Yes | Our method is evaluated on publicly avilable dataset (Chevalier Boisvert et al., 2018; Tamar et al., 2016; Hassan et al., 2019). |
| Dataset Splits | Yes | We use the same train and test split as VIN, and learn different implicit functions for mazes of different sizes." and "We use the same train and test trajectories as the HMP method |
| Hardware Specification | No | The paper does not explicitly describe the specific hardware used for running its experiments, such as GPU models, CPU types, or memory specifications. |
| Software Dependencies | No | The paper mentions 'Py Torch framework (Paszke et al., 2019)' but does not specify its version number or any other software dependencies with specific version numbers. |
| Experiment Setup | Yes | We train the conditional VAE described in Section 4.2 and all implicit functions using the Adam solver (Kingma & Ba, 2014) with a learning rate of 5e-5. To balance the KL-divergence and the reconstruction objectives in the VAE, we adopt the Cyclical Annealing Schedule introduced in (Fu et al., 2019). |