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ManiSkill v3.0.0b5 is released! Upgrade by running
pip install --upgrade mani_skill
Major Changes:
Several new tasks added, including a nice GPU parallelized PushT environment developed by a community member (Xander Hinrichsen). All are solved by PPO in minutes.
A simple parallel GUI render mechanism has been added (similar to how isaac renders environments) although note it is only useful for cool demo videos
Quadruped task has improved reward function for nicer locomotion behaviors
GPU parallelized Soft Actor Critic (SAC) Baseline added
Reverse forward curriculum learning (RFCL) baseline added, a fast online imitation learning algorithm (not GPU parallelized but is still the fastest learning from demos algorithm provided at the moment)
More demonstration datasets have been added sourced from motion planning solutions, reinforcement learning, and simple teleoperation for a few tasks.
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ManiSkill v3.0.0b5 is released! Upgrade by running
Major Changes:
Release notes here: https://github.com/haosulab/ManiSkill/releases/tag/v3.0.0b5
Some demos of the new work:
anymalc_parallel.mp4
PushT-v1_rt.mp4
opencabinet_parallel.mp4
pickcube_parallel.mp4
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