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Ervin T
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[docs] Fix link and add teams/groups to table of contents (#5126)
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docs/Learning-Environment-Design-Agents.md

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- [Agent Properties](#agent-properties)
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- [Destroying an Agent](#destroying-an-agent)
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- [Defining Multi-agent Scenarios](#defining-multi-agent-scenarios)
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-[Teams for Adversarial Scenarios](#teams-for-adversarial-scenarios)
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-[Groups for Cooperative Scenarios](#groups-for-cooperative-scenarios)
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- [Recording Demonstrations](#recording-demonstrations)
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An agent is an entity that can observe its environment, decide on the best

docs/ML-Agents-Overview.md

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MA-POCA can also be combined with self-play to train teams of agents to play against each other.
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To learn more about enabling cooperative behaviors for agents in an ML-Agents environment,
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check out [this page](Learning-Environment-Design-Agents.md#cooperative-scenarios).
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check out [this page](Learning-Environment-Design-Agents.md#groups-for-cooperative-scenarios).
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For further reading, MA-POCA builds on previous work in multi-agent cooperative learning
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([Lowe et al.](https://arxiv.org/abs/1706.02275), [Foerster et al.](https://arxiv.org/pdf/1705.08926.pdf),

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