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Fix: Reshape action in DictRolloutBuffer (#1395)
* reshape action in DictRolloutBuffer * improve buffer test * update changelog * add comment * Update comments and version --------- Co-authored-by: Antonin Raffin <antonin.raffin@dlr.de>
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4 changed files with 11 additions and 6 deletions
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@ -4,7 +4,7 @@ Changelog
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==========
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Release 1.8.0a11 (WIP)
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Release 1.8.0a12 (WIP)
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--------------------------
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.. warning::
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@ -46,6 +46,7 @@ Bug Fixes:
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- Added the argument ``dtype`` (default to ``float32``) to the noise for consistency with gym action (@sidney-tio)
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- Fixed PPO train/n_updates metric not accounting for early stopping (@adamfrly)
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- Fixed loading of normalized image-based environments
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- Fixed `DictRolloutBuffer.add` with multidimensional action space (@younik)
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Deprecations:
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^^^^^^^^^^^^^
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@ -246,7 +246,7 @@ class ReplayBuffer(BaseBuffer):
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obs = obs.reshape((self.n_envs, *self.obs_shape))
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next_obs = next_obs.reshape((self.n_envs, *self.obs_shape))
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# Same, for actions
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# Reshape to handle multi-dim and discrete action spaces, see GH #970 #1392
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action = action.reshape((self.n_envs, self.action_dim))
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# Copy to avoid modification by reference
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@ -430,7 +430,7 @@ class RolloutBuffer(BaseBuffer):
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if isinstance(self.observation_space, spaces.Discrete):
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obs = obs.reshape((self.n_envs, *self.obs_shape))
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# Same reshape, for actions
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# Reshape to handle multi-dim and discrete action spaces, see GH #970 #1392
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action = action.reshape((self.n_envs, self.action_dim))
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self.observations[self.pos] = np.array(obs).copy()
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@ -588,7 +588,7 @@ class DictReplayBuffer(ReplayBuffer):
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next_obs[key] = next_obs[key].reshape((self.n_envs,) + self.obs_shape[key])
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self.next_observations[key][self.pos] = np.array(next_obs[key]).copy()
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# Same reshape, for actions
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# Reshape to handle multi-dim and discrete action spaces, see GH #970 #1392
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action = action.reshape((self.n_envs, self.action_dim))
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self.actions[self.pos] = np.array(action).copy()
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@ -741,6 +741,9 @@ class DictRolloutBuffer(RolloutBuffer):
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obs_ = obs_.reshape((self.n_envs,) + self.obs_shape[key])
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self.observations[key][self.pos] = obs_
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# Reshape to handle multi-dim and discrete action spaces, see GH #970 #1392
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action = action.reshape((self.n_envs, self.action_dim))
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self.actions[self.pos] = np.array(action).copy()
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self.rewards[self.pos] = np.array(reward).copy()
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self.episode_starts[self.pos] = np.array(episode_start).copy()
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@ -1 +1 @@
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1.8.0a11
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1.8.0a12
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@ -44,7 +44,8 @@ class DummyDictEnv(gym.Env):
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"""
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def __init__(self):
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self.action_space = spaces.Box(1, 5, (1,))
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# Test for multi-dim action space
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self.action_space = spaces.Box(1, 5, shape=(10, 7))
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space = spaces.Box(1, 5, (1,))
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self.observation_space = spaces.Dict({"observation": space, "achieved_goal": space, "desired_goal": space})
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self._observations = [1, 2, 3, 4, 5]
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