Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Switch to Latest atari-py and Bump Atari Environments to v4 #584

Merged
merged 2 commits into from
May 13, 2017

Conversation

shelhamer
Copy link
Contributor

The latest atari-py includes ROM fixes and improvements for saving/loading environment states. Given the slight alterations to certain ROMs and a change in the seeding and pseudorandomness openai/atari-py#15 (comment) runs before and after these changes are not strictly comparable. For this reason we should bump Atari environment versions to v4 when the new atari-py is adopted.

For more detail see openai/atari-py#15 which updated the emulator to the latest ALE, included several ROM fixes, and exposed the full saving and loading of environment states.

@shelhamer
Copy link
Contributor Author

@tlbtlbtlb @joschu is this the right approach for updating environments, or would you rather keep v3 for now and deprecate it? Note that as of openai/atari-py@acea408 atari-py is at 0.0.22-dev and not yet 0.0.22 so that needs to be updated and distributed first. @nottombrown is there further testing you had in mind before dropping the dev suffix?

Who should I ask about updating the package?

@nottombrown
Copy link
Contributor

nottombrown commented May 9, 2017 via email

@shelhamer shelhamer force-pushed the atari-v4 branch 2 times, most recently from 0f3f8e6 to da61238 Compare May 13, 2017 00:04
@shelhamer shelhamer merged commit ac137fc into openai:master May 13, 2017
shelhamer added a commit that referenced this pull request May 14, 2017
gym 0.9.1 upgrades the Atari environments to v4 by:

- upgrading atari-py to the latest ALE, including ROM fixes
  openai/atari-py#15
- upgrading gym to the latest atari-py and declaring Atari v4
  #584
- exposing snapshot/restore of Atari environments through gym
  #575

Switching to v4 is encouraged for correctness, although the environment
differences are minor. For exact comparison with existing Atari v3
results, make use of earlier gym and atari-py versions.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

Successfully merging this pull request may close these issues.

2 participants