message: adding information to sub-repos
diff: ![macOS-CI Build](https://github.com/bark-simulator/bark/workflows/macOS-CI/badge.svg)
  ![NIGHTLY Build](https://github.com/bark-simulator/bark/workflows/NIGHTLY/badge.svg)
  ![NIGHTLY LTL Build](https://github.com/bark-simulator/bark/workflows/NIGHTLY_LTL/badge.svg)
  +![NIGHTLY Rules MCTS Build](https://github.com/bark-simulator/bark/workflows/NIGHTLY_RULES_MCTS/badge.svg)
  # BARK - a tool for **B**ehavior benchm**ARK**ing
  @@ -19,8 +20,10 @@ The BARK ecosystem is composed of multiple components that all share the common
  * [BARK-ML](https://github.com/bark-simulator/bark-ml/): Machine learning library for decision-making in autonomous driving.
  * [BARK-MCTS](https://github.com/bark-simulator/planner-mcts): Integrates a template-based C++ Monte Carlo Tree Search Library into BARK to support development of both single- and multi-agent search methods.
  +* [BARK-Rules-MCTS](https://github.com/bark-simulator/planner-rules-mcts): Integrates traffic rules within Monte Carlo Tree Search with lexicographic ordering.
  * [BARK-DB](https://github.com/bark-simulator/bark-databasse/): Provides a framework to integrate multiple BARK scenario sets into a database. The database module supports binary seriliazation of randomly generated scenarios to ensure exact reproducibility of behavior benchmarks accross systems.
  +* [BARK-Rule-Monitoring](https://github.com/bark-simulator/rule-monitoring): Provides runtime verification of LTL Rules on simulated BARK traces.
  * [CARLA-Interface](https://github.com/bark-simulator/carla-interface): A two-way interface between [CARLA ](https://github.com/carla-simulator/carla) and BARK. BARK behavior models can control CARLA vehicles. CARLA controlled vehicles are mirrored to BARK.
  ## Quick Start
  