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- Set-up: A version of the classic grid-world task. Scene contains agent, goal, |
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- Set-up: A version of the grid-world task. Scene contains agent, goal, |
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- Goal: The agent must navigate the grid to the goal while avoiding the |
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obstacles. |
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- Goal: The agent must navigate the grid to the appropriate goal while |
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avoiding the obstacles. |
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- +1.0 if the agent navigates to the goal position of the grid (episode ends). |
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- -1.0 if the agent navigates to an obstacle (episode ends). |
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- +1.0 if the agent navigates to the correct goal (episode ends). |
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- -1.0 if the agent navigates to an incorrect goal (episode ends). |
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- Behavior Parameters: |
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- Vector Observation space: None |
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- Actions: 1 discrete action branch with 5 actions, corresponding to movement in |
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checkbox within the `trueAgent` GameObject). The trained model file provided |
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was generated with action masking turned on. |
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- Visual Observations: One corresponding to top-down view of GridWorld. |
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- Float Properties: Three, corresponding to grid size, number of obstacles, and |
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number of goals. |
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- Goal Signal : A one hot vector corresponding to which color is the correct goal |
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for the Agent |
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- Float Properties: Three, corresponding to grid size, number of green goals, and |
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number of red goals. |
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- Benchmark Mean Reward: 0.8 |
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## Push Block |
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vincentpierre
