NVIDIA Isaac Lab Contributions

My open-source contributions to the NVIDIA Isaac Lab robotics simulation framework for massively parallel reinforcement learning and imitation learning. I added distributed hyperparameter tuning, image feature extraction with pretrained frozen models, and standardized environments for vision-based reinforcement learning.

Here are some highlights of my work on Isaac Lab:

Adding distributed hyperparameter tuning to Isaac Lab that can be seamlessly run on a cluster or on a single machine (documentation, code,YouTube video covering the functionality).
Adding support for image feature extraction with pretrained frozen models.
Adding standardized vision-based reinforcement learning environments.
Adding a tool to check the maximum amount of cameras that can be simulated on a GPU.
Supporting the community by helping resolve over 20 issues related to Isaac Lab(comments on issues by either @garylvov or @glvov-bdai, comments on discussions by @garylvov, comments on discussions by @glvov-bdai).