KrusHan commited on
Commit
39a7d4c
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1 Parent(s): 016d5c9

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README.md CHANGED
@@ -10,7 +10,7 @@ model-index:
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  results:
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  - metrics:
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  - type: mean_reward
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- value: -111.16 +/- 32.10
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  name: mean_reward
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  task:
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  type: reinforcement-learning
 
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  results:
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  - metrics:
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  - type: mean_reward
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+ value: 225.63 +/- 80.78
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  name: mean_reward
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  task:
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  type: reinforcement-learning
config.json CHANGED
@@ -1 +1 @@
1
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  },
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  },
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- "_n_updates": 782,
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- "batch_size": 64,
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  "__module__": "stable_baselines3.common.buffers",
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  "__doc__": "\n Replay buffer used in off-policy algorithms like SAC/TD3.\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 device:\n :param n_envs: Number of parallel environments\n :param optimize_memory_usage: Enable a memory efficient variant\n of the replay buffer which reduces by almost a factor two the memory used,\n at a cost of more complexity.\n See https://github.com/DLR-RM/stable-baselines3/issues/37#issuecomment-637501195\n and https://github.com/DLR-RM/stable-baselines3/pull/28#issuecomment-637559274\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 ",
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- "__init__": "<function ReplayBuffer.__init__ at 0x7fc06fe14560>",
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- "sample": "<function ReplayBuffer.sample at 0x7fc06fe14680>",
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- "_get_samples": "<function ReplayBuffer._get_samples at 0x7fc06fe14710>",
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  },
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- "exploration_fraction": 0.1,
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- "target_update_interval": 625,
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- "_n_calls": 6252,
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- "exploration_rate": 0.05,
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  "exploration_schedule": {
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  }
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  }
 
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  {
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  ":type:": "<class 'abc.ABCMeta'>",
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  "__module__": "stable_baselines3.dqn.policies",
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  "__doc__": "\n Policy class with Q-Value Net and target net for DQN\n\n :param observation_space: Observation space\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param features_extractor_class: Features extractor to use.\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n ",
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+ "__init__": "<function DQNPolicy.__init__ at 0x7f66a9e72440>",
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+ "_build": "<function DQNPolicy._build at 0x7f66a9e724d0>",
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+ "make_q_net": "<function DQNPolicy.make_q_net at 0x7f66a9e72560>",
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+ "forward": "<function DQNPolicy.forward at 0x7f66a9e725f0>",
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+ "_predict": "<function DQNPolicy._predict at 0x7f66a9e72680>",
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+ "_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x7f66a9e72710>",
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+ "set_training_mode": "<function DQNPolicy.set_training_mode at 0x7f66a9e727a0>",
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  "__abstractmethods__": "frozenset()",
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+ "_abc_impl": "<_abc_data object at 0x7f66a9e64510>"
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+ },
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+ "verbose": 0,
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+ "policy_kwargs": {
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+ "net_arch": [
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+ 256,
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+ 256
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+ ]
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  },
 
 
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  "observation_space": {
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  ":type:": "<class 'gym.spaces.box.Box'>",
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  "dtype": "float32",
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  "_shape": [
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  8
 
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  },
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  "action_space": {
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