From ea74dcde514906131eea9fe8145baf1957911493 Mon Sep 17 00:00:00 2001 From: Ervin Teng Date: Tue, 16 Mar 2021 12:33:16 -0400 Subject: [PATCH] Fix link and add teams/groups to table of contents --- docs/Learning-Environment-Design-Agents.md | 2 ++ docs/ML-Agents-Overview.md | 2 +- 2 files changed, 3 insertions(+), 1 deletion(-) diff --git a/docs/Learning-Environment-Design-Agents.md b/docs/Learning-Environment-Design-Agents.md index 2d0c4051ae..7a02007e9a 100644 --- a/docs/Learning-Environment-Design-Agents.md +++ b/docs/Learning-Environment-Design-Agents.md @@ -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 diff --git a/docs/ML-Agents-Overview.md b/docs/ML-Agents-Overview.md index 16c99af394..27b225b5d6 100644 --- a/docs/ML-Agents-Overview.md +++ b/docs/ML-Agents-Overview.md @@ -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),