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com.unity.ml-agents_1.0.0
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v0.1
161 次代码提交 (18fcd679-b3da-4774-b7aa-83b386b5baaa)
| 作者 | SHA1 | 备注 | 提交日期 |
|---|---|---|---|
GitHub
|
1b7045bf |
Merge pull request #2448 from Unity-Technologies/hh/fix-broken-crawler-prefabs
fixed broken crawler prefabs |
5 年前 |
Hunter
|
45fe60db | fixed broken prefabs | 5 年前 |
|
GitHub
|
3880fd3a |
Update development release version to 0.10.0.dev0 (#2443)
In order for downstream packages to make use of the latest pre-release features, we can pre-release versions of our packages. For packages ending in `devN` pip will not install that package version by default. This change manually updates our package version to a development version with the idea that we can manually perform development versions with the potential for future automated / nightly dev releases. |
5 年前 |
|
GitHub
|
43696d60 | Fix bug in add_rewards_output and add test (#2442) | 5 年前 |
|
GitHub
|
689765d6 |
Modification of reward signals and rl_trainer for SAC (#2433)
* Adds evaluate_batch to reward signals. Evaluates on minibatch rather than on BrainInfo. * Changes the way reward signal results are reported in rl_trainer so that we get the pure, unprocessed environment reward separate from the reward signals. * Moves end_episode to rl_trainer * Fixed bug with BCModule with RNN |
5 年前 |
Arthur Juliani
|
fa46be7f | Merge branch 'RunSwimFlyRich-master' into develop | 5 年前 |
|
GitHub
|
4abe89bc | Only call get_action on brains with policies (#2437) | 5 年前 |
|
GitHub
|
bd7eb286 | Update reward signals in parallel with policy (#2362) | 5 年前 |
Jonathan Harper
|
e333abf8 |
Fixing compile error
Variable "model" is undefined. |
5 年前 |
|
GitHub
|
4472838e |
Merge pull request #2421 from Unity-Technologies/hotfix-v0.9.1
Hotfix v0.9.1 - develop |
5 年前 |
|
GitHub
|
7b69bd14 |
Refactor Trainer and Model (#2360)
- Move common functions to trainer.py, model.pyfromppo/trainer.py, ppo/policy.pyandppo/model.py' - Introduce RLTrainer class and move most of add_experiences and some common reward signal code there. PPO and SAC will inherit from this, not so much BC Trainer. - Add methods to Buffer to enable sampling, truncating, and save/loading. - Add scoping to create encoders in model.py |
5 年前 |