Garage Versions Save

This is a pre-release of v2020.10. It contains changes to garage since v2020.06.0.

This pre-release makes cutting-edge features available via PyPI, but comes with no promises of support or bug fixes. If you encounter problems with this release, you are encouraged to either install from master or revert to the v2020.06 release.

For information on what to expected in garage v2020.09, see the release notes for v2020.06.0

This is a maintenance release for 2020.06.

• Fixed
  • PyTorch 1.7 support (#1934)
  • LocalRunner ignores worker_cls attribute of algorithms (#1984)
  • mujoco_py versions greater than v2.0.2.8 are incompatible with some GCC versions in conda (#2000)
  • MTSAC not learning because it corrupts the termination signal by wrapping with GarageEnv twice (#2029)
  • MTSAC does not respect max_episode_length_eval hyperparameter (#2029)
  • MTSAC MetaWorld examples do not use the correct number of tasks (#2029)
  • MTSAC now supports a separate max_episode_length for evalaution via the max_episode_length_eval hyperparameter (#2029)
  • MTSAC MetaWorld MT50 example used an incorrect max_episode_length (#2029)

This is a pre-release of v2020.09. It contains changes to garage since v2020.06.0.

This pre-release makes cutting-edge features available via PyPI, but comes with no promises of support or bug fixes. If you encounter problems with this release, you are encouraged to either install from master or revert to the v2020.06 release.

For information on what to expected in garage v2020.09, see the release notes for v2020.06.0

This is a pre-release of v2020.09. It contains changes to garage since v2020.06.0.

This pre-release makes cutting-edge features available via PyPI, but comes with no promises of support or bug fixes. If you encounter problems with this release, you are encouraged to either install from master or revert to the v2020.06 release.

For information on what to expected in garage v2020.09, see the release notes for v2020.06.0

This is a pre-release of v2020.09. It contains changes to garage since v2020.06.0.

This pre-release makes cutting-edge features available via PyPI, but comes with no promises of support or bug fixes. If you encounter problems with this release, you are encouraged to either install from master or revert to the v2020.06 release.

For information on what to expected in garage v2020.09, see the release notes for v2020.06.0

This is a maintenance release for 2020.06.

• Fixed
  • Better parameters for example her_ddpg_fetchreach (#1763)
  • Ensure determinism in TensorFlow by using tfp.SeedStream (#1821)
  • Broken rendering of MuJoCo environments to pixels in the NVIDIA Docker container (#1838)
  • Enable cudnn in the NVIDIA Docker container (#1840)
  • Bug in DiscreteQfDerivedPolicy in which parameters were not returned (#1847)
  • Populate TimeLimit.truncated at every step when using gym.Env (#1852)
  • Bug in which parameters where not copied when TensorFlow primitives are clone()ed (#1855)
  • Typo in the Makefile target run-nvidia (#1914)

This is a maintenance release for 2019.10.

Fixed

• Better parameters for example her_ddpg_fetchreach (#1764)
• Bug in DiscreteQfDerivedPolicy in which parameters were not returned (#1847)
• Bug which made it impossible to evaluate stochastic policies deterministically (#1715)

This is a maintenance release for v2020.06

Fixed

• Pipenv fails to resolve a stable dependency set because of excessively-narrow dependencies in tensorflow-probability (#1721)
• Bug which prevented rollout from running policies deterministically (#1714)

This is a pre-release of v2020.09.0rc1. It contains changes to garage since v2020.06.0.

This pre-release makes cutting-edge features available via PyPI, but comes with no promises of support or bug fixes. If you encounter problems with this release, you are encouraged to either install from master or revert to the v2020.06 release.

For information on what to expected in garage v2020.09, see the release notes for v2020.06.0

This is a maintenance release for 2019.10.

Fixed

• Use a GitHub Token in the CI to retrieve packages to avoid hitting GitHub API rate limit (#1250)
• Avoid installing dev extra dependencies during the conda check (#1296)
• Install dm_control from PyPI (#1406)
• Pin tfp to 0.8.x to avoid breaking pipenv (#1480)
• Force python 3.5 in CI (#1522)
• Separate terminal and completion signal in vectorized sampler (#1581)
• Disable certicate check for roboti.us (#1595)
• Fix advantages shape in compute_advantage() in torch tree (#1209)
• Fix plotting using tf.plotter (#1292)
• Fix duplicate window rendering when using garage.Plotter (#1299)
• Fix setting garage.model parameters (#1363)
• Fix two example jupyter notebook (#1584)
• Fix collecting samples in RaySampler (#1583)