Find Obj#

Find Obj

Action Space

Discrete(7)

Observation Space

Dict('direction': Discrete(4), 'image': Box(0, 255, (7, 7, 3), uint8), 'mission': MissionSpace(<function BabyAIMissionSpace._gen_mission at 0x7f813d9da940>, None))

Reward Range

(0, 1)

Creation

gymnasium.make("BabyAI-FindObjS7-v0")

Description#

Pick up an object (in a random room) Rooms have a size of 5 This level requires potentially exhaustive exploration

Mission Space#

“pick up the {type}”

{type} is the type of the object. Can be “ball”, “box” or “key”.

Action Space#

Num

Name

Action

0

left

Turn left

1

right

Turn right

2

forward

Move forward

3

pickup

Pick up an object

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/core/constants.py

  • STATE refers to the door state with 0=open, 1=closed and 2=locked

Rewards#

A reward of ‘1 - 0.9 * (step_count / max_steps)’ is given for success, and ‘0’ for failure.

Termination#

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

  1. The agent picks up the object.

  2. Timeout (see max_steps).

Registered Configurations#

  • BabyAI-FindObjS5-v0

  • BabyAI-FindObjS6-v0

  • BabyAI-FindObjS7-v0