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
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