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build(deps): bump gymnasium from 0.29.1 to 1.1.1#90

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build(deps): bump gymnasium from 0.29.1 to 1.1.1#90
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@dependabot dependabot Bot commented on behalf of github May 5, 2026

Bumps gymnasium from 0.29.1 to 1.1.1.

Release notes

Sourced from gymnasium's releases.

Gymnasium v1.1.1

Changes

Full Changelog: Farama-Foundation/Gymnasium@v1.1.0...v1.1.1

v1.1.0

Gymnasium v1.1

In this release, we fix several bugs with Gymnasium v1.0 along with new features to improve the changes made.

With the release of Gymnasium v1.0, one of the major changes we made was to the vector environment implementation, improving how users interface with it and extend it. Some users noted that they required backward compatibility with how vector environments automatically reset sub-environments when they terminated or truncated, referred to as the autoreset mode or API. As a result, in v1.1, we have added support to the implemented vector environments (SyncVectorEnv and AsyncVectorEnv) and wrappers for all three possible modes: next-step, same-step and disabled. To know the type of autoreset mode used, it should be specified in the vector environment metadata, metadata["autoreset_mode"] as a gymnasium.vectors.AutoresetMode enum. For more information on the differences between the autoreset modes and how to use them, read https://farama.org/Vector-Autoreset-Mode.

In addition, we've added several helpful features

  • In Gymnasium v0.25, we added masking for spaces, space.sample(mask=...), to logically mask out possible samples from spaces. Farama-Foundation/Gymnasium#1310 adds probability masking for each space with space.sample(probability=...) to specify the probability of each sample, which is helpful for RL policies that output a probability distribution of actions.
  • For MuJoCo environments, users have the option to render the robot with RGB images or depth-based images. Previously, it was only possible to access only the RGB or depth rendering. Gymnasium v1.1 adds RGBD rendering that outputs both the RGB and depth-based image as a single output.
  • In Gymnasium v1.0, we improve the conversion wrappers between jax, torch and numpy with JaxToTorch, JaxToNumpy, NumpyToTorch, etc. In v1.1, we've improved the wrappers to work with rendering and to be compatible with the full dlpack API.

New Features

Bug Fixes

Documentation Changes

Thanks to the 31 new contributors that contributed to this release with the Full Changelog: Farama-Foundation/Gymnasium@v1.0.0...v1.1.0

... (truncated)

Commits
  • 1c7c709 Remove Mujoco assert on metadata render-mode (#1328)
  • 583f6a7 Refer to numpy instead of jax [for vars and docs] in vector NumpyToTorch (#1319)
  • 9ff8bf4 Update version number to v1.1
  • e2599f0 Update vector autoreset documentation. (#1318)
  • e4c1f90 Add probability masking to space.sample (#1310)
  • 1dffcc6 Allow AtariPreprocessing non-square observations (#1312)
  • a4f8cfb Improve 'set_wrapper_attr'. (#1294)
  • a894632 wrappers.vector.NumpyToTorch uses Device from wrappers.NumpyTorch not `...
  • 2a8441d Add None to None conversion for JaxToNumpy, JaxToTorch and NumpyToTorch (#1306)
  • d92e030 Prevented accidental alteration of env_spec_kwargs in make_vec (#1304)
  • Additional commits viewable in compare view

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Bumps [gymnasium](https://github.com/Farama-Foundation/Gymnasium) from 0.29.1 to 1.1.1.
- [Release notes](https://github.com/Farama-Foundation/Gymnasium/releases)
- [Commits](Farama-Foundation/Gymnasium@v0.29.1...v1.1.1)

---
updated-dependencies:
- dependency-name: gymnasium
  dependency-version: 1.1.1
  dependency-type: direct:production
  update-type: version-update:semver-major
...

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@dependabot dependabot Bot added dependencies Pull requests that update a dependency file python Pull requests that update python code labels May 5, 2026
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