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AUTOGENERATED: DO NOT EDIT FILE DIRECTLY
title: Dynamic
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# Dynamic

### Description

This environment is an empty room with moving obstacles.
The goal of the agent is to reach the green goal square without colliding
with any obstacle. A large penalty is subtracted if the agent collides with
an obstacle and the episode finishes. This environment is useful to test
Dynamic Obstacle Avoidance for mobile robots with Reinforcement Learning in
Partial Observability.

### Mission Space

"get to the green goal square"

### Action Space

| Num | Name         | Action       |
|-----|--------------|--------------|
| 0   | left         | Turn left    |
| 1   | right        | Turn right   |
| 2   | forward      | Move forward |
| 3   | pickup       | Unused       |
| 4   | drop         | Unused       |
| 5   | toggle       | Unused       |
| 6   | done         | Unused       |

### Observation Encoding

- Each tile is encoded as a 3 dimensional tuple:
    `(OBJECT_IDX, COLOR_IDX, STATE)`
- `OBJECT_TO_IDX` and `COLOR_TO_IDX` mapping can be found in
    [minigrid/minigrid.py](minigrid/minigrid.py)
- `STATE` refers to the door state with 0=open, 1=closed and 2=locked

### Rewards

A reward of '1' is given for success, and '0' for failure. A '-1' penalty is
subtracted if the agent collides with an obstacle.

### Termination

The episode ends if any one of the following conditions is met:

1. The agent reaches the goal.
2. The agent collides with an obstacle.
3. Timeout (see `max_steps`).

### Registered Configurations

- `MiniGrid-Dynamic-Obstacles-5x5-v0`
- `MiniGrid-Dynamic-Obstacles-Random-5x5-v0`
- `MiniGrid-Dynamic-Obstacles-6x6-v0`
- `MiniGrid-Dynamic-Obstacles-Random-6x6-v0`
- `MiniGrid-Dynamic-Obstacles-8x8-v0`
- `MiniGrid-Dynamic-Obstacles-16x16-v0`