Learning from Demonstrations

ManiSkill supports all kinds of learning from demonstration / imitation learning methods via a unified API and provides multiple ready, already tested, baselines for use/comparison. The pages below show how to setup datasets/environments for learning from demonstrations and how to use the baselines. All baseline results are published to our public wandb page. On that page you can filter by algorithm used, environment type, etc. We are still in the progress of running all experiments so not all results are uploaded yet.

• Setup
• Baselines