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Mar 16, 2021
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[docs] Update Group Link for Overview #5126

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2 changes: 2 additions & 0 deletions docs/Learning-Environment-Design-Agents.md
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Expand Up @@ -30,6 +30,8 @@
- [Agent Properties](#agent-properties)
- [Destroying an Agent](#destroying-an-agent)
- [Defining Multi-agent Scenarios](#defining-multi-agent-scenarios)
-[Teams for Adversarial Scenarios](#teams-for-adversarial-scenarios)
-[Groups for Cooperative Scenarios](#groups-for-cooperative-scenarios)
- [Recording Demonstrations](#recording-demonstrations)

An agent is an entity that can observe its environment, decide on the best
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2 changes: 1 addition & 1 deletion docs/ML-Agents-Overview.md
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Expand Up @@ -613,7 +613,7 @@ they result in the individual being removed from the game (i.e., self-sacrifice)
MA-POCA can also be combined with self-play to train teams of agents to play against each other.

To learn more about enabling cooperative behaviors for agents in an ML-Agents environment,
check out [this page](Learning-Environment-Design-Agents.md#cooperative-scenarios).
check out [this page](Learning-Environment-Design-Agents.md#groups-for-cooperative-scenarios).

For further reading, MA-POCA builds on previous work in multi-agent cooperative learning
([Lowe et al.](https://arxiv.org/abs/1706.02275), [Foerster et al.](https://arxiv.org/pdf/1705.08926.pdf),
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