Future proofing: Accesing attributes of other wrappers needs to be
explicit in future gymnasium versions
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@ -99,8 +99,8 @@ class BlackBoxWrapper(gym.ObservationWrapper):
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init_time = np.array(
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0 if not self.do_replanning else self.current_traj_steps * self.dt)
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condition_pos = self.condition_pos if self.condition_pos is not None else self.current_pos
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condition_vel = self.condition_vel if self.condition_vel is not None else self.current_vel
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condition_pos = self.condition_pos if self.condition_pos is not None else self.env.get_wrapper_attr('current_pos')
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condition_vel = self.condition_vel if self.condition_vel is not None else self.env.get_wrapper_attr('current_vel')
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self.traj_gen.set_initial_conditions(
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init_time, condition_pos, condition_vel)
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@ -165,7 +165,7 @@ class BlackBoxWrapper(gym.ObservationWrapper):
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self.plan_steps += 1
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for t, (pos, vel) in enumerate(zip(position, velocity)):
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step_action = self.tracking_controller.get_action(
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pos, vel, self.current_pos, self.current_vel)
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pos, vel, self.env.get_wrapper_attr('current_pos'), self.env.get_wrapper_attr('current_vel'))
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c_action = np.clip(
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step_action, self.env.action_space.low, self.env.action_space.high)
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obs, c_reward, terminated, truncated, info = self.env.step(
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@ -184,7 +184,7 @@ class BlackBoxWrapper(gym.ObservationWrapper):
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if self.render_kwargs:
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self.env.render(**self.render_kwargs)
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if terminated or truncated or (self.replanning_schedule(self.current_pos, self.current_vel, obs, c_action, t + 1 + self.current_traj_steps) and self.plan_steps < self.max_planning_times):
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if terminated or truncated or (self.replanning_schedule(self.env.get_wrapper_attr('current_pos'), self.env.get_wrapper_attr('current_vel'), obs, c_action, t + 1 + self.current_traj_steps) and self.plan_steps < self.max_planning_times):
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if self.condition_on_desired:
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self.condition_pos = pos
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