|
--- |
|
license: mit |
|
task_categories: |
|
- robotics |
|
- reinforcement-learning |
|
language: |
|
- en |
|
tags: |
|
- Robotics |
|
- Embodied AI |
|
- Imitation Learning |
|
- Learning from Demonstrations |
|
- State Reset |
|
- Simulation |
|
--- |
|
# Robot Demonstrations with Environment States |
|
|
|
Dataset of robot demonstrations for various benchmarks formatted to contain environment states following the ManiSkill2 trajectory format: https://haosulab.github.io/ManiSkill2/concepts/demonstrations.html#format |
|
|
|
Benchmarks supported: |
|
- ManiSkill2 |
|
- Adroit (D4RL) |
|
- Metaworld |
|
|
|
For code to load and reset to states, as well as formatting the origianl demonstration datasets in supported benchmarks, see this repo: https://github.com/stonet2000/robot-state-reset-utils. |
|
|
|
|
|
Data originally used for and generated from the [Reverse Forward Curriculum Learning for Extreme Sample and Demo Efficiency]() research project. |
