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https://github.com/vale981/ray
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75 lines
2.7 KiB
Python
75 lines
2.7 KiB
Python
import gym
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import random
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from ray.rllib.env.apis.task_settable_env import TaskSettableEnv
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from ray.rllib.env.env_context import EnvContext
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from ray.rllib.utils.annotations import override
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class CurriculumCapableEnv(TaskSettableEnv):
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"""Example of a curriculum learning capable env.
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This simply wraps a FrozenLake-v0 env and makes it harder with each
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task. Task (difficulty levels) can range from 1 to 10."""
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# Defining the different maps (all same size) for the different
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# tasks. Theme here is to move the goal further and further away and
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# to add more and more holes along the way.
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MAPS = [
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["SFFFFFF", "FFFFFFF", "FFFFFFF", "HHFFFFG", "FFFFFFF", "FFFFFFF"],
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["SFFFFFF", "FFFHFFF", "FFFFFFF", "HHHFFFF", "FFFFFFG", "FFFFFFF"],
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["SFFFFFF", "FFHHFFF", "FFFFFFF", "HHHHFFF", "FFFFFFF", "FFFFFFG"],
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["SFFFFFF", "FHHHFFF", "FFFFFFF", "HHHHHFF", "FFFFFFF", "FFFFFGF"],
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["SFFFFFF", "FFFHHFF", "FHFFFFF", "HHHHHHF", "FFHFFHF", "FFFGFFF"],
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]
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def __init__(self, config: EnvContext):
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self.cur_level = config.get("start_level", 1)
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self.max_timesteps = config.get("max_timesteps", 18)
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self.frozen_lake = None
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self._make_lake() # create self.frozen_lake
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self.observation_space = self.frozen_lake.observation_space
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self.action_space = self.frozen_lake.action_space
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self.switch_env = False
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self._timesteps = 0
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def reset(self):
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if self.switch_env:
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self.switch_env = False
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self._make_lake()
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self._timesteps = 0
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return self.frozen_lake.reset()
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def step(self, action):
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self._timesteps += 1
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s, r, d, i = self.frozen_lake.step(action)
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# Make rewards scale with the level exponentially:
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# Level 1: x1
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# Level 2: x10
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# Level 3: x100, etc..
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r *= 10**(self.cur_level - 1)
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if self._timesteps >= self.max_timesteps:
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d = True
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return s, r, d, i
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@override(TaskSettableEnv)
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def sample_tasks(self, n_tasks):
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"""Implement this to sample n random tasks."""
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return [random.randint(1, 10) for _ in range(n_tasks)]
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@override(TaskSettableEnv)
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def get_task(self):
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"""Implement this to get the current task (curriculum level)."""
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return self.cur_level
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@override(TaskSettableEnv)
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def set_task(self, task):
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"""Implement this to set the task (curriculum level) for this env."""
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self.cur_level = task
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self.switch_env = True
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def _make_lake(self):
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self.frozen_lake = gym.make(
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"FrozenLake-v0",
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desc=self.MAPS[self.cur_level - 1],
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is_slippery=False)
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