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README.md

@@ -16,7 +16,7 @@ model-index:
       type: LunarLander-v2
     metrics:
     - type: mean_reward
-      value: 109.12 +/- 18.64
+      value: 81.57 +/- 110.80
       name: mean_reward
       verified: false
 ---

config.json

@@ -1 +1 @@
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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    ", "__init__": "<function DQNPolicy.__init__ at 0x7f5c60fcb7f0>", "_build": "<function DQNPolicy._build at 0x7f5c60fcb880>", "make_q_net": "<function DQNPolicy.make_q_net at 0x7f5c60fcb910>", "forward": "<function DQNPolicy.forward at 0x7f5c60fcb9a0>", "_predict": "<function DQNPolicy._predict at 0x7f5c60fcba30>", "_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x7f5c60fcbac0>", "set_training_mode": "<function DQNPolicy.set_training_mode at 0x7f5c60fcbb50>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f5c60fe4e40>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 100000, "_total_timesteps": 100000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1688955954723288946, 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"_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": 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     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        Cannot be used in combination with handle_timeout_termination.\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    ", "__init__": "<function ReplayBuffer.__init__ at 0x7f5c60fbbd00>", "add": "<function ReplayBuffer.add at 0x7f5c60fbbd90>", "sample": "<function ReplayBuffer.sample at 0x7f5c60fbbe20>", "_get_samples": "<function ReplayBuffer._get_samples at 0x7f5c60fbbeb0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7f5c60fc2ac0>"}, "replay_buffer_kwargs": {}, "train_freq": {":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>", ":serialized:": 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dqn-LunarLander-v2.zip

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dqn-LunarLander-v2/data

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         "__annotations__": "{'q_net': <class 'stable_baselines3.dqn.policies.QNetwork'>, 'q_net_target': <class 'stable_baselines3.dqn.policies.QNetwork'>}",
         "__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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         "__module__": "stable_baselines3.common.buffers",
         "__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: PyTorch 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        Cannot be used in combination with handle_timeout_termination.\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    ",
-        "__init__": "<function ReplayBuffer.__init__ at 0x7f5c60fbbd00>",
-        "add": "<function ReplayBuffer.add at 0x7f5c60fbbd90>",
-        "sample": "<function ReplayBuffer.sample at 0x7f5c60fbbe20>",
-        "_get_samples": "<function ReplayBuffer._get_samples at 0x7f5c60fbbeb0>",
+        "__init__": "<function ReplayBuffer.__init__ at 0x7f8bd05e8ee0>",
+        "add": "<function ReplayBuffer.add at 0x7f8bd05e8f70>",
+        "sample": "<function ReplayBuffer.sample at 0x7f8bd05e9000>",
+        "_get_samples": "<function ReplayBuffer._get_samples at 0x7f8bd05e9090>",
         "__abstractmethods__": "frozenset()",
-        "_abc_impl": "<_abc._abc_data object at 0x7f5c60fc2ac0>"
+        "_abc_impl": "<_abc._abc_data object at 0x7f8bd05e5d80>"
     },
     "replay_buffer_kwargs": {},
     "train_freq": {
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dqn-LunarLander-v2/policy.optimizer.pth

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dqn-LunarLander-v2/policy.pth

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 version https://git-lfs.github.com/spec/v1
-oid sha256:7ae005352971056b79e4c91e1d911b2832315b8dd1d8acc3ca5b808ca860d9dc
+oid sha256:99b0f6bc005ff5c3a33f888176a62634783f4ad2bdd36d11f3d279052f32ceb4
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results.json

@@ -1 +1 @@
-{"mean_reward": 109.1225054863753, "std_reward": 18.639494612539067, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-07-10T08:52:11.500994"}
+{"mean_reward": 81.57284787867836, "std_reward": 110.79918998503821, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-07-10T16:29:54.380247"}