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Multi Agent Soccer Environment

Soccer

  • Brains:
    • Striker
      • Objective: Get the ball into the Goalie's goal
    • Goalie
      • Objective: Prevent the ball from going into the goal

Agents: The environment contains four agents, two Strikers and two Goalies, where there is a single striker/goalier pair per team.

Behavior Parameters : Striker, Goalie. Striker Agent Reward Function (dependent):

+1 When ball enters opponent's goal. -0.001 Existential penalty. Goalie Agent Reward Function (dependent): -1 When ball enters goal. 0.001 Existential bonus.

GoalieBrain actions: 0: forward 1: backward 2: slide right 3: slide left

StrikerBrain actions: 0: forward 1: backward 2: spin right (clockwise) 3: spin left (counter-clockwise) 4: slide left 5: slide right

In this environment, the goal is to train a team of agents to play soccer.

You can read more about this environment in the ML-Agents GitHub here. To solve this harder task, you'll need to download a new Unity environment. (Note: Udacity students should not submit a project with this new environment.)

You need only select the environment that matches your operating system: