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The ML-Agents toolkit provides several ways to learn from demonstrations. |
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* To train using GAIL (Generative Adversarial Imitaiton Learning) you can add the |
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[GAIL reward signal](Reward-Signals.md#the-gail-reward-signal). GAIL can be |
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[GAIL reward signal](Reward-Signals.md#gail-reward-signal). GAIL can be |
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used with or without environment rewards, and works well when there are a limited |
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number of demonstrations. |
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* To help bootstrap reinforcement learning, you can enable |
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