MO-Hopper¶
Action Space |
Box(-1.0, 1.0, (3,), float32) |
Observation Shape |
(11,) |
Observation High |
inf |
Observation Low |
-inf |
Reward Shape |
(3,) |
Reward High |
[inf inf inf] |
Reward Low |
[-inf -inf -inf] |
Import |
|
Description¶
Multi-objective version of the HopperEnv environment.
See Gymnasium’s env for more information.
The original Gymnasium’s ‘Hopper-v4’ is recovered by the following linear scalarization:
env = mo_gym.make(‘mo-hopper-v4’, cost_objective=False) LinearReward(env, weight=np.array([1.0, 0.0]))
Reward Space¶
The reward is 3-dimensional:
0: Reward for going forward on the x-axis
1: Reward for jumping high on the z-axis
2: Control cost of the action If the cost_objective flag is set to False, the reward is 2-dimensional, and the cost is added to other objectives.