ml-agents

4 提交

337 分支

128 Plastic标签

分支: fix-env-step-loop

作者	SHA1	备注	提交日期
GitHub	4ac79742	Refactor reward signals into separate class (#2144 ) * Create new class (RewardSignal) that represents a reward signal. * Add value heads for each reward signal in the PPO model. * Make summaries agnostic to the type of reward signals, and log weighted rewards per reward signal. * Move extrinsic and curiosity rewards into this new structure. * Allow defining multiple reward signals in YAML file. Add documentation for this new structure.	5 年前
GitHub	67d754c5	Fix flake8 import warnings (#2584 ) We have been ignoring unused imports and star imports via flake8. These are both bad practice and grow over time without automated checking. This commit attempts to fix all existing import errors and add back the corresponding flake8 checks.	5 年前

作者

SHA1

备注

提交日期

GitHub

4ac79742

Refactor reward signals into separate class (#2144 )

* Create new class (RewardSignal) that represents a reward signal. 
* Add value heads for each reward signal in the PPO model.
* Make summaries agnostic to the type of reward signals, and log weighted rewards per reward signal. 
* Move extrinsic and curiosity rewards into this new structure.
* Allow defining multiple reward signals in YAML file. Add documentation for this new structure.

5 年前

GitHub

67d754c5

Fix flake8 import warnings (#2584 )

We have been ignoring unused imports and star imports via flake8. These are
both bad practice and grow over time without automated checking.  This
commit attempts to fix all existing import errors and add back the corresponding
flake8 checks.

5 年前

2 次代码提交 (fix-env-step-loop)