Upload DQNCartPole-v1 trained agent

README.md

@@ -16,7 +16,7 @@ model-index:
       type: CartPole-v1
     metrics:
     - type: mean_reward
-      value: 188.50 +/- 26.99
+      value: 122.60 +/- 4.08
       name: mean_reward
       verified: false
 ---

config.json

@@ -1 +1 @@
-{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLmRxbi5wb2xpY2llc5SMCURRTlBvbGljeZSTlC4=", "__module__": "stable_baselines3.dqn.policies", "__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    ", "__init__": "<function DQNPolicy.__init__ at 0x7bdabe69bb50>", "_build": "<function DQNPolicy._build at 0x7bdabe69bbe0>", "make_q_net": "<function DQNPolicy.make_q_net at 0x7bdabe69bc70>", "forward": "<function DQNPolicy.forward at 0x7bdabe69bd00>", "_predict": "<function DQNPolicy._predict at 0x7bdabe69bd90>", "_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x7bdabe69be20>", "set_training_mode": "<function DQNPolicy.set_training_mode at 0x7bdabe69beb0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7bdabe6ab180>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 200000, "_total_timesteps": 200000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1718253720845788284, "learning_rate": 0.001, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdQEAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAQAAAAAAABLp0L4gogG/+eWKvfXUML1QPrK9/kEvvor/O72WfIW9dFVhv8joib/MCb69ZQOLPfQaTL/MhG+//w7BvWteGr1jrAC+LuS6vraHqrzeETg+L5RIvt10yL4Akt+8cFDPPQ6Qc77rKp++PCXUvA6BQ723upq/Fo2gv+m09r0+ZAi+gmoov1tzZ7/lMsq9KB8IPsXRj751dKy+RAElvRYipb3q9QO+Nbb9vbENi7wcSDW+RCo3vCQIB7/HIJu8ShYXP4rzOD2dViQ+cJulvD/yqL5l1hK/WLY5v+lRmL0u/qM8E5FMvx1Ph7/QkuW9HErJPcShBr+tqzy/M5idva5D0D2UjAVudW1weZSMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSxBLBIaUjAFDlHSUUpQu"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAEBAQEBAQEBAQEBAQEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdQEAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAQAAAAAAALK2zb7M1p++ROx7vQG2ob6jM7O9Dqm/PL21H70/zbC+Nc9cv0E4Yr/eB7a9QzBIvjNPRr/f5ZC/ErnMve3NkT5iYPq9w0EuvskAmbyYFtu9+Y08vqJNFr9o8xC9C0nPPu4wab4MpQG/ZNr9vB1Wgj7PA5e/Sbm5vwm8/r0vskg+RMckvyPiNb929cS9zv8Cvghdjr7qmRG+f0oHvVC2ub731/q9T3ijvo/+nrzTQvk9xEiUuzJZqr6LLs28B2ucPjHUGz3rA7Y+4fv/u3vEHr/qHRC/BQgIv3cUjr0RAIC+0SVGv3x5oL8/Cve96FTaPgvaA78BAgu/OcKWvWPlKr6UjAVudW1weZSMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSxBLBIaUjAFDlHSUUpQu"}, "_episode_num": 4461, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": 0.0, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 3047, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True  True  True  True]", "bounded_above": "[ True  True  True  True]", "_shape": [4], "low": "[-4.8000002e+00 -3.4028235e+38 -4.1887903e-01 -3.4028235e+38]", "high": "[4.8000002e+00 3.4028235e+38 4.1887903e-01 3.4028235e+38]", "low_repr": "[-4.8000002e+00 -3.4028235e+38 -4.1887903e-01 -3.4028235e+38]", "high_repr": "[4.8000002e+00 3.4028235e+38 4.1887903e-01 3.4028235e+38]", "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "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", "n": "2", "start": "0", "_shape": [], "dtype": "int64", "_np_random": "Generator(PCG64)"}, "n_envs": 16, "buffer_size": 100000, "batch_size": 32, "learning_starts": 5000, "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: 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 0x7bdabe698040>", "add": "<function ReplayBuffer.add at 0x7bdabe6980d0>", "sample": "<function ReplayBuffer.sample at 0x7bdabe698160>", "_get_samples": "<function ReplayBuffer._get_samples at 0x7bdabe6981f0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7bdabe694cc0>"}, "replay_buffer_kwargs": {}, "train_freq": {":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>", ":serialized:": "gAWVYQAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLBGgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMBHN0ZXCUhZRSlIaUgZQu"}, "use_sde_at_warmup": false, "exploration_initial_eps": 1.0, "exploration_final_eps": 0.05, "exploration_fraction": 0.3, "target_update_interval": 625, "_n_calls": 12500, "max_grad_norm": 10, "exploration_rate": 0.05, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "batch_norm_stats": [], "batch_norm_stats_target": [], "exploration_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Apr 28 14:29:16 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.0+cu121", "GPU Enabled": "True", "Numpy": "1.25.2", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.26.2"}}
+{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLmRxbi5wb2xpY2llc5SMCURRTlBvbGljeZSTlC4=", "__module__": "stable_baselines3.dqn.policies", "__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    ", "__init__": "<function DQNPolicy.__init__ at 0x7bdabe69bb50>", "_build": "<function DQNPolicy._build at 0x7bdabe69bbe0>", "make_q_net": "<function DQNPolicy.make_q_net at 0x7bdabe69bc70>", "forward": "<function DQNPolicy.forward at 0x7bdabe69bd00>", "_predict": "<function DQNPolicy._predict at 0x7bdabe69bd90>", "_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x7bdabe69be20>", "set_training_mode": "<function DQNPolicy.set_training_mode at 0x7bdabe69beb0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7bdabe6ab180>"}, "verbose": 1, "policy_kwargs": {}, "num_timesteps": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1718257700880016928, "learning_rate": 0.001, "tensorboard_log": null, "_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": 9962, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": 0.0, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 15547, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True  True  True  True]", "bounded_above": "[ True  True  True  True]", "_shape": [4], "low": "[-4.8000002e+00 -3.4028235e+38 -4.1887903e-01 -3.4028235e+38]", "high": "[4.8000002e+00 3.4028235e+38 4.1887903e-01 3.4028235e+38]", "low_repr": "[-4.8000002e+00 -3.4028235e+38 -4.1887903e-01 -3.4028235e+38]", "high_repr": "[4.8000002e+00 3.4028235e+38 4.1887903e-01 3.4028235e+38]", "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "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", "n": "2", "start": "0", "_shape": [], "dtype": "int64", "_np_random": "Generator(PCG64)"}, "n_envs": 16, "buffer_size": 100000, "batch_size": 32, "learning_starts": 5000, "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: 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 0x7bdabe698040>", "add": "<function ReplayBuffer.add at 0x7bdabe6980d0>", "sample": "<function ReplayBuffer.sample at 0x7bdabe698160>", "_get_samples": "<function ReplayBuffer._get_samples at 0x7bdabe6981f0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7bdabe694cc0>"}, "replay_buffer_kwargs": {}, "train_freq": {":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>", ":serialized:": "gAWVYQAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLBGgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMBHN0ZXCUhZRSlIaUgZQu"}, "use_sde_at_warmup": false, "exploration_initial_eps": 1.0, "exploration_final_eps": 0.05, "exploration_fraction": 0.3, "target_update_interval": 625, "_n_calls": 62500, "max_grad_norm": 10, "exploration_rate": 0.05, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "gAWVxQIAAAAAAACMF2Nsb3VkcGlja2xlLmNsb3VkcGlja2xllIwOX21ha2VfZnVuY3Rpb26Uk5QoaACMDV9idWlsdGluX3R5cGWUk5SMCENvZGVUeXBllIWUUpQoSwFLAEsASwFLAUsTQwSIAFMAlE6FlCmMAV+UhZSMSS91c3IvbG9jYWwvbGliL3B5dGhvbjMuMTAvZGlzdC1wYWNrYWdlcy9zdGFibGVfYmFzZWxpbmVzMy9jb21tb24vdXRpbHMucHmUjARmdW5jlEuEQwIEAZSMA3ZhbJSFlCl0lFKUfZQojAtfX3BhY2thZ2VfX5SMGHN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbpSMCF9fbmFtZV9flIwec3RhYmxlX2Jhc2VsaW5lczMuY29tbW9uLnV0aWxzlIwIX19maWxlX1+UjEkvdXNyL2xvY2FsL2xpYi9weXRob24zLjEwL2Rpc3QtcGFja2FnZXMvc3RhYmxlX2Jhc2VsaW5lczMvY29tbW9uL3V0aWxzLnB5lHVOTmgAjBBfbWFrZV9lbXB0eV9jZWxslJOUKVKUhZR0lFKUjBxjbG91ZHBpY2tsZS5jbG91ZHBpY2tsZV9mYXN0lIwSX2Z1bmN0aW9uX3NldHN0YXRllJOUaB99lH2UKGgWaA2MDF9fcXVhbG5hbWVfX5SMGWNvbnN0YW50X2ZuLjxsb2NhbHM+LmZ1bmOUjA9fX2Fubm90YXRpb25zX1+UfZSMDl9fa3dkZWZhdWx0c19flE6MDF9fZGVmYXVsdHNfX5ROjApfX21vZHVsZV9flGgXjAdfX2RvY19flE6MC19fY2xvc3VyZV9flGgAjApfbWFrZV9jZWxslJOURz9QYk3S8an8hZRSlIWUjBdfY2xvdWRwaWNrbGVfc3VibW9kdWxlc5RdlIwLX19nbG9iYWxzX1+UfZR1hpSGUjAu"}, "batch_norm_stats": [], "batch_norm_stats_target": [], "exploration_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-6.1.85+-x86_64-with-glibc2.35 # 1 SMP PREEMPT_DYNAMIC Sun Apr 28 14:29:16 UTC 2024", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.3.0+cu121", "GPU Enabled": "True", "Numpy": "1.25.2", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.26.2"}}

dqn-CartPole-v1.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:d02ab85d63cfba91a4c41a34038b8e1ec3e622dfcc6398e271f27270475e8ac9
-size 100766
+oid sha256:dd44920ed3d722ea2357099c9463ea1538803cec32830ddd31c5c90a4af0aa28
+size 100765

dqn-CartPole-v1/data

@@ -17,17 +17,17 @@
     },
     "verbose": 1,
     "policy_kwargs": {},
-    "num_timesteps": 200000,
-    "_total_timesteps": 200000,
+    "num_timesteps": 1000000,
+    "_total_timesteps": 1000000,
     "_num_timesteps_at_start": 0,
     "seed": null,
     "action_noise": null,
-    "start_time": 1718253720845788284,
+    "start_time": 1718257700880016928,
     "learning_rate": 0.001,
     "tensorboard_log": null,
     "_last_obs": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "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"
+        ":serialized:": "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"
     },
     "_last_episode_starts": {
         ":type:": "<class 'numpy.ndarray'>",
@@ -35,22 +35,22 @@
     },
     "_last_original_obs": {
         ":type:": "<class 'numpy.ndarray'>",
-        ":serialized:": "gAWVdQEAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYAAQAAAAAAALK2zb7M1p++ROx7vQG2ob6jM7O9Dqm/PL21H70/zbC+Nc9cv0E4Yr/eB7a9QzBIvjNPRr/f5ZC/ErnMve3NkT5iYPq9w0EuvskAmbyYFtu9+Y08vqJNFr9o8xC9C0nPPu4wab4MpQG/ZNr9vB1Wgj7PA5e/Sbm5vwm8/r0vskg+RMckvyPiNb929cS9zv8Cvghdjr7qmRG+f0oHvVC2ub731/q9T3ijvo/+nrzTQvk9xEiUuzJZqr6LLs28B2ucPjHUGz3rA7Y+4fv/u3vEHr/qHRC/BQgIv3cUjr0RAIC+0SVGv3x5oL8/Cve96FTaPgvaA78BAgu/OcKWvWPlKr6UjAVudW1weZSMBWR0eXBllJOUjAJmNJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSxBLBIaUjAFDlHSUUpQu"
+        ":serialized:": "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"
     },
-    "_episode_num": 4461,
+    "_episode_num": 9962,
     "use_sde": false,
     "sde_sample_freq": -1,
     "_current_progress_remaining": 0.0,
     "_stats_window_size": 100,
     "ep_info_buffer": {
         ":type:": "<class 'collections.deque'>",
-        ":serialized:": "gAWV4gsAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKUKH2UKIwBcpRHQGWAAAAAAACMAWyUS6yMAXSUR0Ci4+d0zTF3dX2UKGgGR0BuQAAAAAAAaAdL8mgIR0Ci4+20JF9bdX2UKGgGR0BkYAAAAAAAaAdLo2gIR0Ci5ALeqJdjdX2UKGgGR0BkIAAAAAAAaAdLoWgIR0Ci5AgfEGaAdX2UKGgGR0BlwAAAAAAAaAdLrmgIR0Ci5Aq9PDYRdX2UKGgGR0BoYAAAAAAAaAdLw2gIR0Ci5B48Md92dX2UKGgGR0BuQAAAAAAAaAdL8mgIR0Ci5Cl2V3UydX2UKGgGR0Br4AAAAAAAaAdL32gIR0Ci5D1sDW9UdX2UKGgGR0BkIAAAAAAAaAdLoWgIR0Ci5Ebv5P/JdX2UKGgGR0BmIAAAAAAAaAdLsWgIR0Ci5EVRUFSsdX2UKGgGR0BnAAAAAAAAaAdLuGgIR0Ci5EWZqmCRdX2UKGgGR0Bp4AAAAAAAaAdLz2gIR0Ci5EtZNfw7dX2UKGgGR0BmAAAAAAAAaAdLsGgIR0Ci5FeYUnG9dX2UKGgGR0BnYAAAAAAAaAdLu2gIR0Ci5FVqN6w/dX2UKGgGR0BuIAAAAAAAaAdL8WgIR0Ci5GXFtKqXdX2UKGgGR0BkQAAAAAAAaAdLomgIR0Ci5G/2Cdz5dX2UKGgGR0Bl4AAAAAAAaAdLr2gIR0Ci5HKqn3tbdX2UKGgGR0ByEAAAAAAAaAdNIQFoCEdAouR6X6ZYxXV9lChoBkdAYwAAAAAAAGgHS5hoCEdAouSEiKR+0HV9lChoBkdAZKAAAAAAAGgHS6VoCEdAouSOc+aBqnV9lChoBkdAZ8AAAAAAAGgHS75oCEdAouScehf0E3V9lChoBkdAZ0AAAAAAAGgHS7poCEdAouS1lAeJYXV9lChoBkdAYoAAAAAAAGgHS5RoCEdAouTNoL5RCXV9lChoBkdAZAAAAAAAAGgHS6BoCEdAouTWvr4WUXV9lChoBkdAZcAAAAAAAGgHS65oCEdAouTXmYBvJnV9lChoBkdAZyAAAAAAAGgHS7loCEdAouTfL/0dzXV9lChoBkdAaCAAAAAAAGgHS8FoCEdAouTm+PBBRnV9lChoBkdAaCAAAAAAAGgHS8FoCEdAouTlMdtEX3V9lChoBkdAaqAAAAAAAGgHS9VoCEdAouTuQKa5PXV9lChoBkdAZ6AAAAAAAGgHS71oCEdAouUAUFjd6HV9lChoBkdAaOAAAAAAAGgHS8doCEdAouUS+JxecHV9lChoBkdAc7AAAAAAAGgHTTsBaAhHQKLlLyc0+C91fZQoaAZHQG1gAAAAAABoB0vraAhHQKLlPGus90R1fZQoaAZHQG4gAAAAAABoB0vxaAhHQKLlOVARkEt1fZQoaAZHQGlAAAAAAABoB0vKaAhHQKLlQ8+zMRp1fZQoaAZHQG0gAAAAAABoB0vpaAhHQKLlTzWf9P11fZQoaAZHQGfgAAAAAABoB0u/aAhHQKLlUx9oexR1fZQoaAZHQG6gAAAAAABoB0v1aAhHQKLlUDUVi4J1fZQoaAZHQGSAAAAAAABoB0ukaAhHQKLlXUcXFcZ1fZQoaAZHQGNAAAAAAABoB0uaaAhHQKLlaowVTJh1fZQoaAZHQGYgAAAAAABoB0uxaAhHQKLlb1OCXhR1fZQoaAZHQGgAAAAAAABoB0vAaAhHQKLlcprDZUV1fZQoaAZHQGggAAAAAABoB0vBaAhHQKLlgjPfKp11fZQoaAZHQGIAAAAAAABoB0uQaAhHQKLlhVea8Yh1fZQoaAZHQG0AAAAAAABoB0voaAhHQKLli8VYZEV1fZQoaAZHQGxAAAAAAABoB0viaAhHQKLlmZjQRf51fZQoaAZHQGfAAAAAAABoB0u+aAhHQKLlltwaR6p1fZQoaAZHQGPgAAAAAABoB0ufaAhHQKLltP557gN1fZQoaAZHQGOAAAAAAABoB0ucaAhHQKLlvlVcUud1fZQoaAZHQGNgAAAAAABoB0ubaAhHQKLlxUgB91F1fZQoaAZHQGdgAAAAAABoB0u7aAhHQKLlwGQCCBh1fZQoaAZHQGKAAAAAAABoB0uUaAhHQKLlxSOR1YB1fZQoaAZHQGbgAAAAAABoB0u3aAhHQKLlzWI42jx1fZQoaAZHQGEAAAAAAABoB0uIaAhHQKLlyqn3ta91fZQoaAZHQGTAAAAAAABoB0umaAhHQKLl1fEXLvF1fZQoaAZHQGCAAAAAAABoB0uEaAhHQKLl1X0XgtR1fZQoaAZHQGJgAAAAAABoB0uTaAhHQKLl5sjVx0d1fZQoaAZHQGPAAAAAAABoB0ueaAhHQKLl6+FlCkZ1fZQoaAZHQGLgAAAAAABoB0uXaAhHQKLl/CWu5jJ1fZQoaAZHQGGAAAAAAABoB0uMaAhHQKLmCrjHXEt1fZQoaAZHQGTgAAAAAABoB0unaAhHQKLmEQ3gk1N1fZQoaAZHQGVAAAAAAABoB0uqaAhHQKLmC9X9zfd1fZQoaAZHQGPgAAAAAABoB0ufaAhHQKLmFm/336B1fZQoaAZHQGKAAAAAAABoB0uUaAhHQKLmO2/BWPt1fZQoaAZHQGQgAAAAAABoB0uhaAhHQKLmNYnOSnt1fZQoaAZHQGSAAAAAAABoB0ukaAhHQKLmQBJZnth1fZQoaAZHQGNAAAAAAABoB0uaaAhHQKLmRFERaox1fZQoaAZHQGLAAAAAAABoB0uWaAhHQKLmTGI9C/p1fZQoaAZHQGTgAAAAAABoB0unaAhHQKLmRvQWvbJ1fZQoaAZHQGRgAAAAAABoB0ujaAhHQKLmS3H7xd91fZQoaAZHQGrAAAAAAABoB0vWaAhHQKLmaSi/O+t1fZQoaAZHQGTgAAAAAABoB0unaAhHQKLmb8pCrtF1fZQoaAZHQGZAAAAAAABoB0uyaAhHQKLmcoOQQtl1fZQoaAZHQGmAAAAAAABoB0vMaAhHQKLmcx4Y77t1fZQoaAZHQGNAAAAAAABoB0uaaAhHQKLmgg2ZRbd1fZQoaAZHQGMgAAAAAABoB0uZaAhHQKLmiFPBSDR1fZQoaAZHQGfAAAAAAABoB0u+aAhHQKLmkMgEEDB1fZQoaAZHQGWAAAAAAABoB0usaAhHQKLmnCWNWEN1fZQoaAZHQGKgAAAAAABoB0uVaAhHQKLmrqB3A211fZQoaAZHQGCAAAAAAABoB0uEaAhHQKLmsUqx1Pp1fZQoaAZHQGlgAAAAAABoB0vLaAhHQKLmqazeGfx1fZQoaAZHQGIAAAAAAABoB0uQaAhHQKLmsGwA2ht1fZQoaAZHQGMAAAAAAABoB0uYaAhHQKLmvw0fozN1fZQoaAZHQGegAAAAAABoB0u9aAhHQKLmzXzUZvV1fZQoaAZHQGeAAAAAAABoB0u8aAhHQKLm251eSjh1fZQoaAZHQGLgAAAAAABoB0uXaAhHQKLm64+8oQZ1fZQoaAZHQGpgAAAAAABoB0vTaAhHQKLm8ZG8VYZ1fZQoaAZHQGVAAAAAAABoB0uqaAhHQKLm+daMaS91fZQoaAZHQGKAAAAAAABoB0uUaAhHQKLnAE7nxKB1fZQoaAZHQGggAAAAAABoB0vBaAhHQKLnCotL+P11fZQoaAZHQGNAAAAAAABoB0uaaAhHQKLnEmvW6LB1fZQoaAZHQGDgAAAAAABoB0uHaAhHQKLnEe3hGYt1fZQoaAZHQGWgAAAAAABoB0utaAhHQKLnFUaQ3gl1fZQoaAZHQGrAAAAAAABoB0vWaAhHQKLnI1FYuCh1fZQoaAZHQGLAAAAAAABoB0uWaAhHQKLnMLbYbsF1fZQoaAZHQGMgAAAAAABoB0uZaAhHQKLnMq1gH/t1fZQoaAZHQGTAAAAAAABoB0umaAhHQKLnN8c+7lJ1fZQoaAZHQGNAAAAAAABoB0uaaAhHQKLnP6UJOWV1fZQoaAZHQGgAAAAAAABoB0vAaAhHQKLnT/n4fwJ1fZQoaAZHQGbgAAAAAABoB0u3aAhHQKLnYQkona51ZS4="
+        ":serialized:": "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"
     },
     "ep_success_buffer": {
         ":type:": "<class 'collections.deque'>",
         ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
     },
-    "_n_updates": 3047,
+    "_n_updates": 15547,
     "observation_space": {
         ":type:": "<class 'gymnasium.spaces.box.Box'>",
         ":serialized:": "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",
@@ -68,7 +68,7 @@
     },
     "action_space": {
         ":type:": "<class 'gymnasium.spaces.discrete.Discrete'>",
-        ":serialized:": "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",
+        ":serialized:": "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",
         "n": "2",
         "start": "0",
         "_shape": [],
@@ -105,7 +105,7 @@
     "exploration_final_eps": 0.05,
     "exploration_fraction": 0.3,
     "target_update_interval": 625,
-    "_n_calls": 12500,
+    "_n_calls": 62500,
     "max_grad_norm": 10,
     "exploration_rate": 0.05,
     "lr_schedule": {

dqn-CartPole-v1/policy.optimizer.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:daad7d633e2790b1dfc4ba2f0b9dcbdefdb88d1317c7a95810c4d62275bec92b
+oid sha256:ae91c4f28a219d008bbf2f346a0ec5061b9a219b906f81ac61124da52165b647
 size 42272

dqn-CartPole-v1/policy.pth

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:9eaf515591616138da7bbb4be04496042445b054a8f4bd3e191ddeb3f806816d
+oid sha256:cb4d8302e5c36d4e47bbb353f5ce282e9b062bbded6790b0a3f4bc7cf1d96a2f
 size 41394

results.json

@@ -1 +1 @@
-{"mean_reward": 188.5, "std_reward": 26.993517740376113, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-06-13T04:48:46.697444"}
+{"mean_reward": 122.6, "std_reward": 4.079215610874227, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2024-06-13T05:55:38.658561"}