Younggyo Seo 6e890eebd2 Support FastTD3 + SimbaV2 (#13) ...

- Support hyperspherical normalization
- Support loading FastTD3 + SimbaV2 for both training and inference
- Support (experimental) reward normalization that uses SimbaV2's formulation -- not working that well though
- Updated README for FastTD3 + SimbaV2

2025-06-15 12:49:59 -07:00

..

environments

black formatting and update tuned_reward for T1

2025-05-29 08:29:44 +00:00

__init__.py

Initial Public Release

2025-05-29 01:49:23 +00:00

fast_td3_deploy.py

Support FastTD3 + SimbaV2 (#13)

2025-06-15 12:49:59 -07:00

fast_td3_simbav2.py

Support FastTD3 + SimbaV2 (#13)

2025-06-15 12:49:59 -07:00

fast_td3_utils.py

Support FastTD3 + SimbaV2 (#13)

2025-06-15 12:49:59 -07:00

fast_td3.py

Fix replay buffer issues when n_steps > 1 (#7)

2025-06-07 01:20:48 -04:00

hyperparams.py

Support FastTD3 + SimbaV2 (#13)

2025-06-15 12:49:59 -07:00

train.py

Support FastTD3 + SimbaV2 (#13)

2025-06-15 12:49:59 -07:00

training_notebook.ipynb

memory optimization for playground

2025-05-29 06:58:28 +00:00