ml-agents

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目录树: 9084db7b

作者	SHA1	备注	提交日期
Marwan Mattar	9084db7b	Consolidate Feature descriptions into ML-Agents-Overview page Merged the "Overview" sections of a few pages into their respective sections in ML-Agents-Overview: - Training-Using-Concurrent-Unity-Instances.md - Training-Self-Play.md - Training-SAC.md - Training-PPO.md - Training-Imitation-Learning.md - Training-Environment-Parameter-Randomization.md - Training-Curriculum-Learning.md - Reward-Signals.md - Feature-Monitor.md - Feature-Memory.md Organized ML-Agents-Overview into Training Methods and Training Options sections. Follow-up action items (part of a separate PR): - Smooth over the documentation in ML-Agents-Overview (right now, we somewhat just pasted text from other pages). If we align on the new structure for this page, we can iterate on it. - Update “Key Components” section with new graph and discuss side channels and revise use of Academy. - Consolidate “Training-*” docs into Training-ML-Agents to offer a single guide for all hyperparameter selection	5 年前

作者

SHA1

备注

提交日期

Marwan Mattar

9084db7b

Consolidate Feature descriptions into ML-Agents-Overview page

Merged the "Overview" sections of a few pages into their respective sections in ML-Agents-Overview:
- Training-Using-Concurrent-Unity-Instances.md
- Training-Self-Play.md
- Training-SAC.md
- Training-PPO.md
- Training-Imitation-Learning.md
- Training-Environment-Parameter-Randomization.md
- Training-Curriculum-Learning.md
- Reward-Signals.md
- Feature-Monitor.md
- Feature-Memory.md

Organized ML-Agents-Overview into Training Methods and Training Options sections.

Follow-up action items (part of a separate PR):
- Smooth over the documentation in ML-Agents-Overview (right now, we somewhat just pasted text from other pages). If we align on the new structure for this page, we can iterate on it.
- Update “Key Components” section with new graph and discuss side channels and revise use of Academy.
- Consolidate “Training-*” docs into Training-ML-Agents to offer a single guide for all hyperparameter selection

5 年前

1 次代码提交 (9084db7b-3906-4e06-b64b-655d189d52dd)