Datasets › bipedal-skills

bipedal-skills (Bipedal Skills Benchmark for Reinforcement Learning)

Introduced by Jonas Gehring et al. in Hierarchical Skills for Efficient Exploration22 Oct 2021 archive 2025-07-28

The bipedal skills benchmark is a suite of reinforcement learning environments implemented for the MuJoCo physics simulator. It aims to provide a set of tasks that demand a variety of motor skills beyond locomotion, and is intended for evaluating skill discovery and hierarchical learning methods. The majority of tasks exhibit a sparse reward structure.

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

General Reinforcement Learning Unsupervised Reinforcement Learning Hierarchical Reinforcement Learning Multi-Goal Reinforcement Learning Transfer Reinforcement Learning

License archive 2025-07-28

MIT License

Modalities archive 2025-07-28

Interactive Environment

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

bipedal-skills

1 variant name, as the archive lists them.

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