def step_1(s):
"""Move the robot"""
s.ui.filename = lvl_directory+"/level1"
s = ui.load(s)
s = ui.wild(s)
s.ui.log_text = ""
s.ui.story_text = """Neither bob nor the red robot can go through white rocks."""
s.ui.obj_text = "Make the red robot go into the trap"
return s
def step_1(s):
"""Move the robot"""
s.ui.filename = lvl_directory+"/level2"
s = ui.load(s)
s = ui.wild(s)
s.ui.log_text = ""
s.ui.story_text = """This is slightly more challenging than the tutorial.
For a real challenge try to train bob with only two crystals."""
s.ui.obj_text = "Make the red robot go into the trap"
return s
def step_1(s):
"""Move the robot"""
s.ui.filename = lvl_directory+"/level3"
s = ui.load(s)
s = ui.wild(s)
s.ui.log_text = ""
s.ui.story_text = """It is impossible to lose on that level. Try to win by
outsmarting the red robot,
and not by making it step through a long random walk."""
s.ui.obj_text = "Make the red robot go into the trap"
return s
def step_9(s):
"""Back to training"""
s.ui.defeat = ui.defeat
s.ui.vitcory = ui.victory
s.ui.end_text = ""
s.ui.active["retry"] = False
s = ui.wild(s)
s.ui.story_text = """Let's try again. The red robot trusts Bob.
That is because they share the same reward function.
The red robot thinks that if Bob has found a near-optimal policy
for resource collection, then it can copy that policy
and save itself the trouble of exploration.
Let's go back to the lab and teach Bob how to
follow a grassy path..."""
s.ui.obj_text = """Click on the "Lab" button."""
s.obj_func = lambda s: s.ui.terrain == ui.get_lab
s.next_func = step_10
g.BUTTONS["retry"][-1] = lambda: g._state(ui.retry)
ui.checkpoint_now(s)
return s
def wild(s):
s = ui.wild(s)
s.ui.active.update({k: True for k in ui.EDITOR_ACTIVE
if ui.EDITOR_ACTIVE[k]})
s.ui.active["lab_go_wild"] = False
return s
