DQN trained with rl-baselines3-zoo.

DQN-mountaincar-zoo.zip

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DQN-mountaincar-zoo/_stable_baselines3_version

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+1.3.0

DQN-mountaincar-zoo/data

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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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+        "make_q_net": "<function DQNPolicy.make_q_net at 0x7fd583da17b8>",
+        "forward": "<function DQNPolicy.forward at 0x7fd583da1840>",
+        "_predict": "<function DQNPolicy._predict at 0x7fd583da18c8>",
+        "_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x7fd583da1950>",
+        "set_training_mode": "<function DQNPolicy.set_training_mode at 0x7fd583da19d8>",
+        "__abstractmethods__": "frozenset()",
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+        "_abc_negative_cache_version": 59
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+        "high": "[0.6  0.07]",
+        "bounded_below": "[ True  True]",
+        "bounded_above": "[ True  True]",
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DQN-mountaincar-zoo/policy.optimizer.pth

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+oid sha256:1443f641c8c92526fd7a309e578fae506bca0e8206236d23f0abc718feca3cbe
+size 541953

DQN-mountaincar-zoo/policy.pth

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+oid sha256:e6656c2a9d493a0e97274352d3eed82977af53e03ecdd352b82bbb19c8a64c0e
+size 542721

DQN-mountaincar-zoo/pytorch_variables.pth

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+oid sha256:d030ad8db708280fcae77d87e973102039acd23a11bdecc3db8eb6c0ac940ee1
+size 431

DQN-mountaincar-zoo/system_info.txt

@@ -0,0 +1,7 @@
+OS: Linux-4.15.0-180-generic-x86_64-with-Ubuntu-18.04-bionic #189-Ubuntu SMP Wed May 18 14:13:57 UTC 2022
+Python: 3.6.9
+Stable-Baselines3: 1.3.0
+PyTorch: 1.10.2+cu102
+GPU Enabled: True
+Numpy: 1.19.5
+Gym: 0.19.0

README.md

@@ -10,7 +10,7 @@ model-index:
   results:
   - metrics:
     - type: mean_reward
-      value: -125.80 +/- 49.79
+      value: -101.40 +/- 9.64
       name: mean_reward
     task:
       type: reinforcement-learning

config.json

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results.json

@@ -1 +1 @@
-{"mean_reward": -125.8, "std_reward": 49.78513834469078, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-06-07T21:11:56.790913"}
+{"mean_reward": -101.4, "std_reward": 9.635351576356724, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-06-07T22:14:16.659392"}