The source code and dockerfile for the GSW2024 AI Lab.
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from __future__ import annotations
from minigrid.core.constants import COLOR_NAMES
from minigrid.core.mission import MissionSpace
from minigrid.core.roomgrid import RoomGrid
from minigrid.core.world_object import Ball
class AdversaryDoorPickup(AdversaryEnv):
def __init__(self, max_steps: int | None = None, **kwargs):
max_steps = 200
super().__init__(
mission_space=mission_space,
width=11,
num_cols=6,
max_steps=max_steps,
**kwargs,
)
def _gen_grid(self, width, height):
super()._gen_grid(width, height)
self.grid.vert_wall(int(width/2),0)
def step(self, action):
obs, reward, terminated, truncated, info = super().step(action)
if action == self.actions.pickup:
if self.carrying and self.carrying == self.obj:
reward = self.goal_reward
terminated = True
return obs, reward, terminated, truncated, info