Michel Aractingi b1679050de - Added base gym env class for the real robot environment. ...

- Added several wrappers around the base gym env robot class.
- Including: time limit, reward classifier, crop images, preprocess observations.
- Added an interactive script crop_roi.py where the user can interactively select the roi in the observation images and return the correct crop values that will improve the policy and reward classifier performance.

Co-authored-by: Adil Zouitine <adilzouitinegm@gmail.com>

2025-04-18 15:04:13 +02:00

..

wrappers

- Added base gym env class for the real robot environment.

2025-04-18 15:04:13 +02:00

actor_server.py

- Refactor observation encoder in modeling_sac.py

2025-04-18 15:04:13 +02:00

crop_roi.py

- Added base gym env class for the real robot environment.

2025-04-18 15:04:13 +02:00

hilserl.proto

- Added additional logging information in wandb around the timings of the policy loop and optimization loop.

2025-04-18 15:04:13 +02:00

learner_server.py

- Refactor observation encoder in modeling_sac.py

2025-04-18 15:04:13 +02:00