Upload DQN LunarLander-v2 trained agent

Browse files

Files changed (11) hide show

DQN-LundarLander-v2.zip +3 -0
DQN-LundarLander-v2/_stable_baselines3_version +1 -0
DQN-LundarLander-v2/data +120 -0
DQN-LundarLander-v2/policy.optimizer.pth +3 -0
DQN-LundarLander-v2/policy.pth +3 -0
DQN-LundarLander-v2/pytorch_variables.pth +3 -0
DQN-LundarLander-v2/system_info.txt +7 -0
README.md +36 -0
config.json +1 -0
replay.mp4 +0 -0
results.json +1 -0

DQN-LundarLander-v2.zip ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:143db529be964c947393997f151990804e66cbcf23929c889fc080b05ae0494d
+size 1136531

DQN-LundarLander-v2/_stable_baselines3_version ADDED Viewed

	@@ -0,0 +1 @@


1	+ 1.6.0

DQN-LundarLander-v2/data ADDED Viewed

	@@ -0,0 +1,120 @@

+{
+    "policy_class": {
+        ":type:": "<class 'abc.ABCMeta'>",
+        ":serialized:": "gAWVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLmRxbi5wb2xpY2llc5SMCURRTlBvbGljeZSTlC4=",
+        "__module__": "stable_baselines3.dqn.policies",
+        "__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    ",
+        "__init__": "<function DQNPolicy.__init__ at 0x7f22e473ff80>",
+        "_build": "<function DQNPolicy._build at 0x7f22e46c2050>",
+        "make_q_net": "<function DQNPolicy.make_q_net at 0x7f22e46c20e0>",
+        "forward": "<function DQNPolicy.forward at 0x7f22e46c2170>",
+        "_predict": "<function DQNPolicy._predict at 0x7f22e46c2200>",
+        "_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x7f22e46c2290>",
+        "set_training_mode": "<function DQNPolicy.set_training_mode at 0x7f22e46c2320>",
+        "__abstractmethods__": "frozenset()",
+        "_abc_impl": "<_abc_data object at 0x7f22e4735480>"
+    },
+    "verbose": 1,
+    "policy_kwargs": {
+        "net_arch": [
+            256,
+            256
+        ]
+    },
+    "observation_space": {
+        ":type:": "<class 'gym.spaces.box.Box'>",
+        ":serialized:": "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",
+        "dtype": "float32",
+        "_shape": [
+            8
+        ],
+        "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]",
+        "high": "[inf inf inf inf inf inf inf inf]",
+        "bounded_below": "[False False False False False False False False]",
+        "bounded_above": "[False False False False False False False False]",
+        "_np_random": null
+    },
+    "action_space": {
+        ":type:": "<class 'gym.spaces.discrete.Discrete'>",
+        ":serialized:": "gAWVLwsAAAAAAACME2d5bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpRLBIwGX3NoYXBllCmMBWR0eXBllIwFbnVtcHmUaAeTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYowKX25wX3JhbmRvbZSMFG51bXB5LnJhbmRvbS5fcGlja2xllIwSX19yYW5kb21zdGF0ZV9jdG9ylJOUjAdNVDE5OTM3lIWUUpR9lCiMDWJpdF9nZW5lcmF0b3KUaBOMBXN0YXRllH2UKIwDa2V5lIwSbnVtcHkuY29yZS5udW1lcmljlIwLX2Zyb21idWZmZXKUk5QolsAJAAAAAAAAxbxdCbZBDqk6jZ2Xe6biLT7ezcs0PB8QQtMEjyl1Rpm8PiQz+0H+eBKAtgfCWTEWoQFYkIKA799F/ZNkFWf9OShNaasL0pg9BDuFS2s2qWmM9a3GYddVA4XOx3qlOV2JTtJGuWFywwTmrcn2GpyauMN8U0R7rVFR713qjUV2z2JSejTFZ+tn2FD1bF5MioekUaWepJVMujKiYMU1hNb1oHsVbfJcEmpN9FS0M4fctUv6D82KGdfkpbKVw7ezxGGQT9ESaxiq3+5FrYb1ZJvu/PMcBk10qHRDK+1GwL/yPHmB4jNYJQ6TF1K8Ait6+04gh2JPsmBMHwEBUTk0+YXLuNxnAXHqJAch+EsEHII1ZiQlDsP3L2bO/DAPXCoIC5oBr+xJ4/m7GyGbhtO1th95vYiYt46txvACbh7wCythgefTu1e39F6wpj/y5/pgN9Wut2UXMUXYSSLIuLrkNr57sWDYnxjgyJywKJishLG584R9v+YY0icxswRxSGOZ/dLrIItWKfgBnzSA3bNEgokFzYbLTLbnvwQn2TXyjTQCDt16VKqJKj/XznQHPsUcTb+Bg3pgUlaf9JSgnTqq4iWlH0PPpl3wJTNEBbCRYWlsvyrQ+K9z334c55MGiLJaiCBNEOhQJS1gCawyATWVKeloSJNt5ltOxx1446xCVheHqnuA4c4sYmXc8/EUn9Vo0sh0rSDtcV5bnBc8viN5S4IkU84/h4tfamq7QvtdU41YSOg4FYYP2TwKfhPWTpoTV9tnRiBXirmLdzPZkHaRjvwLDjxJrHj6HaGiKRjOHYEneutYqIWm0bhOvBQ2kPsa/n4pWTQcudr+6yLVLCNXk/wxJBxHa8BoCPD2gggiyPcsUpepSnN/1E4Smy16np5pyxdW6C6d7Itf0k6bVP3TOAnWiVUobgdZhR23bfA0ZZ4JucpR0QRpOpUhFxioczfD4ZUuuQLIETcoQiGXI0XsnG4a4MU/eH3TVCSUBpeo3zfShRPyihpCGchj0vlFTkWfDoJ/PgWjguwNxQDWO6wQVVBK9LhVRbEq8lRrZRAlFCP0lNfIOBhbzibDOATWOBAryz9PozZDtmQS2FHXBIapgtAHR11PoCzJcfSBhIhq9mb3YvKhpQpz990pLNOUQ0U3qSMWrvZENGvhptmWDpyDJPvPBOov8eI5En9NCCmqLHc2rgiD3tGmGsG7XmXZn1JR1xUVUDIsZeRFobC4o1K/z2kmI34bxKsxIVB6TLjFTYJMOTgMhzOfVUd2bLs7+xDNspkXRDZ/DdyMfMYkVSf3zrCAccKVB2psqiw5pbPMerCdTdSH3Tqq6IpJApEPDgfFWSOt9paQf3rDZUVoJFlQkM2beD7bu6uyk3t+7ZitBgFEc5CyTPD1SfsgkSdN9MpNGUxrvJWs8Vf+/EVuruG4l8EfUdqc50MJ3hxHzS2eua+JOAK/Z7N4o0SPZzBtEz/XzXIr9vbuJwr1xZPWbO5F47HCWvObd+0VeSowVjQx48nsLEkIdVky9MijXh7s2UGyvEZkOOlGenet4m7zicllMDOBhEc29P3Z2ipZLyoVO91oBpAQE/5wvTKWk/xlga3QTaWWa/sDte2Ksbh5lbV8j70cLSGsSQV8kX0ZFAyccAukB24KxC8m2a3ZWq8KWWVne0LUQvxc+5cQp6kbXp7+WUgqLOA4honBAyl8XnZ8ZLwcT1KaNNlkJPJbU77Pm3QUu9ksJ1buByvimwKVQ50J5Jh2ZjUqrVDdrJFHegCUbgOfO/uATdyCOa5THf5WtKbzljAXdsj9Gif5gPZwiDWVLQfuZorCpzVLgSqnpdM2MaKk+ncH+sAFNocuXuZaa5O1E+zalNJ2vOAR4LWAY2CvWOjDXfrabDeXPps/SftQ+M8fsX4ZTQt48gsn+jel4k0DX2OxHcKp4VLRUXogJXKR2J50pOCU81eX9qlIiMOQcUF/0hAW8Cww/GNmV5rBtpXs7JOi2mEKo/kKtkXtR4Xcbk3+zbtHXrsZHbb41lQiZalWMo/4yu8aJSKEQ6SV/bn77Wn9UVLmGDwpKNHT4m7MlimRZJpX5q1tnGTuwQIiwTG3MLB7/Wj55A2SpBtgWCvt3WdwAjBe/7FjpsGZMnKvxY8sDF2OTEBwiCNXGKOQYGyTvuQTKuLM4N57YwaUA1fAz2lfchHOcOq4cKOm0+p2pwxVHf7IRx0y+y2pEb3M/liBJDG6xve0IDA/BrJ5DNe/6nI23HsimcUX0+P5krtWJhMrK8PLTG2ejWN1mAf1l/5TchtXTvctP3ogg+rzt/bOi3kGC3UHA6g1xJk/TWoFHrC1LawDYI5SvjRZZI6MDu6G5ggfWz+VskPY3K2ESGsHf82cDbtU344mopYv7HO/QV3PoukTnscjgoDnz+rNJJJkyuQYddlL1LoeKYUa/iTUXvYvdkDIklzV0Oh6Zw1TbIrMPTNixpx86VBYpgk6no9TKQ/GEQDuXeUs3GntECp4gXECg4Ug9ZpFbG4WmDwaaLIHPVsraSR8/uwoExTO7X/QKH7RRzoNkSbHTRwdiAE/72umDzrB0SpSyzLTNFbigr2uoB4i8mER0xm7OmlirZDX5RZt6VdJuv/QtEf9PDf6R11eU8/SBbjiBR4+4Sz4X6g84XRFPgcfElzfEdAKw/VuBLDXAH6q/4PK2xIdr2mJjHx51nFnUfDUSycdJKP1grwIHtkMlylqBhMJiFlD4YZBDcTdrwAsjoSF/g9i9YBjNBzRVHn8ALrRwDRD0xizK4QASZIqp2RFOAAHi+/vwkCMnDzmGp9REra1yWQrTSiX3uBkWY4+yiNaHnm5+jI03sXqoTpC1oRcvj1CfiikfaopcQqDY009KY7MHLk/lEJlmvMxG/rFrNbnFQqIjuZxyPiwg0rUCiyem5c33ezdIx/8Wg8eHM+PXv8CWpL5V8EPRDXK0+8NgmeVQQ3wY8hFoXn2RtFyONBlYCuwlLP4cyi4kqYcUnSQ0AoIZ11C3T8wfXadTCzu8Y0sgid321KadJ7AvZLIe6cWmedMNGPcaz4kO6hUIseWsLxITdPGIsAFdR3cLu/JPgnUJQfbEF6NQc1966uEJE4OfrW2bjahewzOITPB8u3qi2wAlDR84s+uTpQp/b+99Tl57f/FlmYZ6oxVrP0yR9I68QI6pJ6Pi+mXR37c0bTn6ImMqbDRD/RiuybmD25GTdRSNu3BmW6bOaH65SMcoknMHOxBGpwt/ZknyJHfpmgi9jPvegnytuIfR2WWnMWiAcucUebDAu2+FAWUahPXDkG/+FPuOtW49lTdLpBmyMVwOpGvtQecH8O/XvgilGgJjAJ1NJSJiIeUUpQoSwNoDU5OTkr/////Sv////9LAHSUYk1wAoWUjAFDlHSUUpSMA3Bvc5RNYAJ1jAloYXNfZ2F1c3OUSwCMBWdhdXNzlEcAAAAAAAAAAHVidWIu",
+        "n": 4,
+        "_shape": [],
+        "dtype": "int64",
+        "_np_random": "RandomState(MT19937)"
+    },
+    "n_envs": 16,
+    "num_timesteps": 100032,
+    "_total_timesteps": 100000,
+    "_num_timesteps_at_start": 0,
+    "seed": null,
+    "action_noise": null,
+    "start_time": 1658310870.7947156,
+    "learning_rate": 0.00063,
+    "tensorboard_log": null,
+    "lr_schedule": {
+        ":type:": "<class 'function'>",
+        ":serialized:": "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"
+    },
+    "_last_obs": {
+        ":type:": "<class 'numpy.ndarray'>",
+        ":serialized:": "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"
+    },
+    "_last_episode_starts": {
+        ":type:": "<class 'numpy.ndarray'>",
+        ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAEBAQEBAQEBAQEBAQEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="
+    },
+    "_last_original_obs": {
+        ":type:": "<class 'numpy.ndarray'>",
+        ":serialized:": "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"
+    },
+    "_episode_num": 203,
+    "use_sde": false,
+    "sde_sample_freq": -1,
+    "_current_progress_remaining": -0.000320000000000098,
+    "ep_info_buffer": {
+        ":type:": "<class 'collections.deque'>",
+        ":serialized:": "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"
+    },
+    "ep_success_buffer": {
+        ":type:": "<class 'collections.deque'>",
+        ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
+    },
+    "_n_updates": 100032,
+    "buffer_size": 50000,
+    "batch_size": 128,
+    "learning_starts": 0,
+    "tau": 1.0,
+    "gamma": 0.99,
+    "gradient_steps": -1,
+    "optimize_memory_usage": false,
+    "replay_buffer_class": {
+        ":type:": "<class 'abc.ABCMeta'>",
+        ":serialized:": "gAWVNQAAAAAAAACMIHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5idWZmZXJzlIwMUmVwbGF5QnVmZmVylJOULg==",
+        "__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:\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 0x7f22e4713710>",
+        "add": "<function ReplayBuffer.add at 0x7f22e47137a0>",
+        "sample": "<function ReplayBuffer.sample at 0x7f22e4713830>",
+        "_get_samples": "<function ReplayBuffer._get_samples at 0x7f22e47138c0>",
+        "__abstractmethods__": "frozenset()",
+        "_abc_impl": "<_abc_data object at 0x7f22e470b330>"
+    },
+    "replay_buffer_kwargs": {},
+    "train_freq": {
+        ":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>",
+        ":serialized:": "gAWVYQAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLBGgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMBHN0ZXCUhZRSlIaUgZQu"
+    },
+    "actor": null,
+    "use_sde_at_warmup": false,
+    "exploration_initial_eps": 1.0,
+    "exploration_final_eps": 0.1,
+    "exploration_fraction": 0.12,
+    "target_update_interval": 15,
+    "_n_calls": 6252,
+    "max_grad_norm": 10,
+    "exploration_rate": 0.1,
+    "exploration_schedule": {
+        ":type:": "<class 'function'>",
+        ":serialized:": "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"
+    }
+}

DQN-LundarLander-v2/policy.optimizer.pth ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:11d8b295bb67de02d18384b479616c9a427686f73c2f8459a39f5765dc0b75e6
+size 557935

DQN-LundarLander-v2/policy.pth ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:cc9899a179a928a2ec693b9d1e6ccf57bb4b5839ff76b63a66e3356232f695a8
+size 557057

DQN-LundarLander-v2/pytorch_variables.pth ADDED Viewed

	@@ -0,0 +1,3 @@

+version https://git-lfs.github.com/spec/v1
+oid sha256:d030ad8db708280fcae77d87e973102039acd23a11bdecc3db8eb6c0ac940ee1
+size 431

DQN-LundarLander-v2/system_info.txt ADDED Viewed

	@@ -0,0 +1,7 @@

+OS: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022
+Python: 3.7.13
+Stable-Baselines3: 1.6.0
+PyTorch: 1.12.0+cu113
+GPU Enabled: True
+Numpy: 1.21.6
+Gym: 0.21.0

README.md ADDED Viewed

	@@ -0,0 +1,36 @@

+---
+library_name: stable-baselines3
+tags:
+- LunarLander-v2
+- deep-reinforcement-learning
+- reinforcement-learning
+- stable-baselines3
+model-index:
+- name: DQN
+  results:
+  - metrics:
+    - type: mean_reward
+      value: 205.86 +/- 54.00
+      name: mean_reward
+    task:
+      type: reinforcement-learning
+      name: reinforcement-learning
+    dataset:
+      name: LunarLander-v2
+      type: LunarLander-v2
+---
+# **DQN** Agent playing **LunarLander-v2**
+This is a trained model of a **DQN** agent playing **LunarLander-v2**
+using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
+## Usage (with Stable-baselines3)
+TODO: Add your code
+```python
+from stable_baselines3 import ...
+from huggingface_sb3 import load_from_hub
+...
+```

config.json ADDED Viewed

	@@ -0,0 +1 @@

+ {"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLmRxbi5wb2xpY2llc5SMCURRTlBvbGljeZSTlC4=", "__module__": "stable_baselines3.dqn.policies", "__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 ", "__init__": "<function DQNPolicy.__init__ at 0x7f22e473ff80>", "_build": "<function DQNPolicy._build at 0x7f22e46c2050>", "make_q_net": "<function DQNPolicy.make_q_net at 0x7f22e46c20e0>", "forward": "<function DQNPolicy.forward at 0x7f22e46c2170>", "_predict": "<function DQNPolicy._predict at 0x7f22e46c2200>", "_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x7f22e46c2290>", "set_training_mode": "<function DQNPolicy.set_training_mode at 0x7f22e46c2320>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f22e4735480>"}, "verbose": 1, "policy_kwargs": {"net_arch": [256, 256]}, "observation_space": {":type:": "<class 'gym.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "_shape": [8], "low": "[-inf -inf -inf -inf -inf -inf -inf -inf]", "high": "[inf inf inf inf inf inf inf inf]", "bounded_below": "[False False False False False False False False]", "bounded_above": "[False False False False False False False False]", "_np_random": null}, "action_space": {":type:": "<class 'gym.spaces.discrete.Discrete'>", ":serialized:": "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", "n": 4, "_shape": [], "dtype": "int64", "_np_random": "RandomState(MT19937)"}, "n_envs": 16, "num_timesteps": 100032, "_total_timesteps": 100000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1658310870.7947156, "learning_rate": 0.00063, "tensorboard_log": null, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAEBAQEBAQEBAQEBAQEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "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"}, "_episode_num": 203, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.000320000000000098, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 100032, "buffer_size": 50000, "batch_size": 128, "learning_starts": 0, "tau": 1.0, "gamma": 0.99, "gradient_steps": -1, "optimize_memory_usage": false, "replay_buffer_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVNQAAAAAAAACMIHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5idWZmZXJzlIwMUmVwbGF5QnVmZmVylJOULg==", "__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:\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 0x7f22e4713710>", "add": "<function ReplayBuffer.add at 0x7f22e47137a0>", "sample": "<function ReplayBuffer.sample at 0x7f22e4713830>", "_get_samples": "<function ReplayBuffer._get_samples at 0x7f22e47138c0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc_data object at 0x7f22e470b330>"}, "replay_buffer_kwargs": {}, "train_freq": {":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>", ":serialized:": "gAWVYQAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLBGgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMBHN0ZXCUhZRSlIaUgZQu"}, "actor": null, "use_sde_at_warmup": false, "exploration_initial_eps": 1.0, "exploration_final_eps": 0.1, "exploration_fraction": 0.12, "target_update_interval": 15, "_n_calls": 6252, "max_grad_norm": 10, "exploration_rate": 0.1, "exploration_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic #1 SMP Sun Apr 24 10:03:06 PDT 2022", "Python": "3.7.13", "Stable-Baselines3": "1.6.0", "PyTorch": "1.12.0+cu113", "GPU Enabled": "True", "Numpy": "1.21.6", "Gym": "0.21.0"}}

replay.mp4 ADDED Viewed

Binary file (221 kB). View file

results.json ADDED Viewed

	@@ -0,0 +1 @@


1	+ {"mean_reward": 205.85513162748276, "std_reward": 54.003691169260755, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2022-07-20T10:02:03.590597"}