Initial commit
Browse files- README.md +1 -1
- a2c-PandaPickAndPlace-v3.zip +2 -2
- a2c-PandaPickAndPlace-v3/actor.optimizer.pth +3 -0
- a2c-PandaPickAndPlace-v3/critic.optimizer.pth +3 -0
- a2c-PandaPickAndPlace-v3/data +66 -57
- a2c-PandaPickAndPlace-v3/ent_coef_optimizer.pth +3 -0
- a2c-PandaPickAndPlace-v3/policy.pth +2 -2
- a2c-PandaPickAndPlace-v3/pytorch_variables.pth +2 -2
- config.json +1 -1
- replay.mp4 +0 -0
- results.json +1 -1
- vec_normalize.pkl +2 -2
README.md
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@@ -16,7 +16,7 @@ model-index:
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type: PandaPickAndPlace-v3
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metrics:
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- type: mean_reward
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value: -
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name: mean_reward
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verified: false
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---
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type: PandaPickAndPlace-v3
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metrics:
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- type: mean_reward
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value: -26.60 +/- 19.93
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name: mean_reward
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verified: false
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---
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a2c-PandaPickAndPlace-v3.zip
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"_np_random": "Generator(PCG64)"
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"buffer_size": 1000000,
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"batch_size": 2048,
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"learning_starts": 1000,
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"tau": 0.05,
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"gamma": 0.95,
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"replay_buffer_class": {
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":type:": "<class 'abc.ABCMeta'>",
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"__module__": "stable_baselines3.her.her_replay_buffer",
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"__annotations__": "{'env': typing.Optional[stable_baselines3.common.vec_env.base_vec_env.VecEnv]}",
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"__doc__": "\n Hindsight Experience Replay (HER) buffer.\n Paper: https://arxiv.org/abs/1707.01495\n\n Replay buffer for sampling HER (Hindsight Experience Replay) transitions.\n\n .. note::\n\n Compared to other implementations, the ``future`` goal sampling strategy is inclusive:\n the current transition can be used when re-sampling.\n\n :param buffer_size: Max number of element in the buffer\n :param observation_space: Observation space\n :param action_space: Action space\n :param env: The training environment\n :param device: PyTorch device\n :param n_envs: Number of parallel environments\n :param optimize_memory_usage: Enable a memory efficient variant\n Disabled for now (see https://github.com/DLR-RM/stable-baselines3/pull/243#discussion_r531535702)\n :param handle_timeout_termination: Handle timeout termination (due to timelimit)\n separately and treat the task as infinite horizon task.\n https://github.com/DLR-RM/stable-baselines3/issues/284\n :param n_sampled_goal: Number of virtual transitions to create per real transition,\n by sampling new goals.\n :param goal_selection_strategy: Strategy for sampling goals for replay.\n One of ['episode', 'final', 'future']\n :param copy_info_dict: Whether to copy the info dictionary and pass it to\n ``compute_reward()`` method.\n Please note that the copy may cause a slowdown.\n False by default.\n ",
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"__init__": "<function HerReplayBuffer.__init__ at 0x7e1bf12f1ea0>",
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"__getstate__": "<function HerReplayBuffer.__getstate__ at 0x7e1bf12f1f30>",
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"__setstate__": "<function HerReplayBuffer.__setstate__ at 0x7e1bf12f1fc0>",
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"set_env": "<function HerReplayBuffer.set_env at 0x7e1bf12f2050>",
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"add": "<function HerReplayBuffer.add at 0x7e1bf12f20e0>",
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"_compute_episode_length": "<function HerReplayBuffer._compute_episode_length at 0x7e1bf12f2170>",
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"sample": "<function HerReplayBuffer.sample at 0x7e1bf12f2200>",
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"_get_real_samples": "<function HerReplayBuffer._get_real_samples at 0x7e1bf12f2290>",
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"_get_virtual_samples": "<function HerReplayBuffer._get_virtual_samples at 0x7e1bf12f2320>",
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"_sample_goals": "<function HerReplayBuffer._sample_goals at 0x7e1bf12f23b0>",
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"truncate_last_trajectory": "<function HerReplayBuffer.truncate_last_trajectory at 0x7e1bf12f2440>",
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"__abstractmethods__": "frozenset()",
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"_abc_impl": "<_abc._abc_data object at 0x7e1bf12f7940>"
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},
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"replay_buffer_kwargs": {},
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"train_freq": {
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":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>",
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":serialized:": "gAWVYQAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLAWgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMBHN0ZXCUhZRSlIaUgZQu"
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},
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"use_sde_at_warmup": false,
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