{"url":"/dataset/pybullet","name":"PyBullet","full_name":null,"description_markdown":"PyBullet is an easy to use Python module for physics simulation, robotics and deep reinforcement learning based on the Bullet Physics SDK. With PyBullet you can load articulated bodies from URDF, SDF and other file formats. PyBullet provides forward dynamics simulation, inverse dynamics computation, forward and inverse kinematics and collision detection and ray intersection queries. Aside from physics simulation, PyBullet supports to rendering, with a CPU renderer and OpenGL visualization and support for virtual reality headsets.","description_withheld":null,"homepage":"https://pybullet.org/wordpress","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[{"name":"Continuous Control","url":"/task/continuous-control","datasets_with_task":"/datasets/task/continuous-control"}],"languages":[],"variants":["PyBullet HalfCheetah","PyBullet Walker2D","PyBullet Ant","PyBullet Hopper","PyBullet"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/continuous-control-on-pybullet-ant","task":"Continuous Control","dataset_variant":"PyBullet Ant","rows":8,"metrics":["Return"],"first_row_in_archive_order":{"model":"SAC gSDE","paper":"/paper/generalized-state-dependent-exploration-for","metrics":{"Return":"3459"},"code_links":[{"title":"DLR-RM/stable-baselines3","url":"https://github.com/DLR-RM/stable-baselines3"},{"title":"facebookresearch/rl","url":"https://github.com/facebookresearch/rl"},{"title":"araffin/sbx","url":"https://github.com/araffin/sbx"},{"title":"markub3327/rl-toolkit","url":"https://github.com/markub3327/rl-toolkit"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/continuous-control-on-pybullet-halfcheetah","task":"Continuous Control","dataset_variant":"PyBullet HalfCheetah","rows":8,"metrics":["Return"],"first_row_in_archive_order":{"model":"SAC","paper":"/paper/generalized-state-dependent-exploration-for","metrics":{"Return":"2883"},"code_links":[{"title":"DLR-RM/stable-baselines3","url":"https://github.com/DLR-RM/stable-baselines3"},{"title":"facebookresearch/rl","url":"https://github.com/facebookresearch/rl"},{"title":"araffin/sbx","url":"https://github.com/araffin/sbx"},{"title":"markub3327/rl-toolkit","url":"https://github.com/markub3327/rl-toolkit"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/continuous-control-on-pybullet-hopper","task":"Continuous Control","dataset_variant":"PyBullet Hopper","rows":8,"metrics":["Return"],"first_row_in_archive_order":{"model":"SAC gSDE","paper":"/paper/generalized-state-dependent-exploration-for","metrics":{"Return":"2646"},"code_links":[{"title":"DLR-RM/stable-baselines3","url":"https://github.com/DLR-RM/stable-baselines3"},{"title":"facebookresearch/rl","url":"https://github.com/facebookresearch/rl"},{"title":"araffin/sbx","url":"https://github.com/araffin/sbx"},{"title":"markub3327/rl-toolkit","url":"https://github.com/markub3327/rl-toolkit"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/continuous-control-on-pybullet-walker2d","task":"Continuous Control","dataset_variant":"PyBullet Walker2D","rows":8,"metrics":["Return"],"first_row_in_archive_order":{"model":"SAC gSDE","paper":"/paper/generalized-state-dependent-exploration-for","metrics":{"Return":"2341"},"code_links":[{"title":"DLR-RM/stable-baselines3","url":"https://github.com/DLR-RM/stable-baselines3"},{"title":"facebookresearch/rl","url":"https://github.com/facebookresearch/rl"},{"title":"araffin/sbx","url":"https://github.com/araffin/sbx"},{"title":"markub3327/rl-toolkit","url":"https://github.com/markub3327/rl-toolkit"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/generalized-state-dependent-exploration-for","title":"Smooth Exploration for Robotic Reinforcement Learning","date":"2020-05-12","rows_on_this_dataset":32,"code_links":4,"syntology":{"read_at":"2026-09-25T09:33:49+00:00","samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"claim":"Per-sample execution on synthesized fixtures; not a correctness claim."}}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+00:00","papers_with_samples":1,"samples_harvested":1,"samples_ran":1,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}