google-deepmind / google-deepmind/dm_control
Reward is always 0 in Hopper
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In Hopper, reward is always 0 independent of the action. The problem is that this code which is used in reward calculation in hopper.py get_reward(self, physics) function, always return 0 as the value of standing:
`standing = rewards.tolerance(physics.height(), (_STAND_HEIGHT, 2))`
When I check `env._physics.height()` after environment reset, I saw that the height is initialized as a negative value always. Therefore it is impossible for this code fragment `rewards.tolerance(physics.height(), (_STAND_HEIGHT, 2))` to return 1, since _STAND_HEIGHT is defined as 0.6 for Hopper.
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