dqn-MountainCar-v0 / config.json
igpaub's picture
Upload DQN MountainCar-v0 trained agent
28cb867
{"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 0x7ce637e97880>", "_build": "<function DQNPolicy._build at 0x7ce637e97910>", "make_q_net": "<function DQNPolicy.make_q_net at 0x7ce637e979a0>", "forward": "<function DQNPolicy.forward at 0x7ce637e97a30>", "_predict": "<function DQNPolicy._predict at 0x7ce637e97ac0>", "_get_constructor_parameters": "<function DQNPolicy._get_constructor_parameters at 0x7ce637e97b50>", "set_training_mode": "<function DQNPolicy.set_training_mode at 0x7ce637e97be0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7ce637e9fbc0>"}, "verbose": 1, "policy_kwargs": {"net_arch": [64, 64]}, "num_timesteps": 200192, "_total_timesteps": 200000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1698922604624369487, "learning_rate": 0.004, "tensorboard_log": null, "_last_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWV9QAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJaAAAAAAAAAAK2shb90ab08JBPpvcr4ED2Rvia/EkMYvHqLOL9qiAY862qwvV0cXD3LdEO/CjMRPE8yzL4kjwI9CWCLPgtLLD0VCwG+ffL9O8P9jr9FYss7cDdDv1HAkLsjCBa/HwNhPW6K3bxmAPi8uOs/v58Igbpr4l6/NiipvFJiez7Fk+A8lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwKGlIwBQ5R0lFKULg=="}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVgwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYQAAAAAAAAAAEBAQEBAQEBAQEBAQEBAQGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSxCFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWV9QAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJaAAAAAAAAAAFOiiL8Zx6A8xMcYvmkbFj2FXSS/DSEWvJylOr/us907jTwPvshdYT2XuUW/DsjqOzSE3L7DRwE9Tq1rPnkXMD2p+gi+OxA1PCXJj79opTU77xVCv+vAxbtVGCS/Q2JZPcWvUzudVNu8NKs/v/HwJrsqmVm/Bii6vNlPXz7qoug8lIwFbnVtcHmUjAVkdHlwZZSTlIwCZjSUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYksQSwKGlIwBQ5R0lFKULg=="}, "_episode_num": 1144, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": -0.0009600000000000719, "_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": 6232, "observation_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True True]", "bounded_above": "[ True True]", "_shape": [2], "low": "[-1.2 -0.07]", "high": "[0.6 0.07]", "low_repr": "[-1.2 -0.07]", "high_repr": "[0.6 0.07]", "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.discrete.Discrete'>", ":serialized:": "gAWVgwEAAAAAAACMGWd5bW5hc2l1bS5zcGFjZXMuZGlzY3JldGWUjAhEaXNjcmV0ZZSTlCmBlH2UKIwBbpSMFW51bXB5LmNvcmUubXVsdGlhcnJheZSMBnNjYWxhcpSTlIwFbnVtcHmUjAVkdHlwZZSTlIwCaTiUiYiHlFKUKEsDjAE8lE5OTkr/////Sv////9LAHSUYkMIAwAAAAAAAACUhpRSlIwFc3RhcnSUaAhoDkMIAAAAAAAAAACUhpRSlIwGX3NoYXBllCloCmgOjApfbnBfcmFuZG9tlIwUbnVtcHkucmFuZG9tLl9waWNrbGWUjBBfX2dlbmVyYXRvcl9jdG9ylJOUjAVQQ0c2NJSFlFKUfZQojA1iaXRfZ2VuZXJhdG9ylIwFUENHNjSUjAVzdGF0ZZR9lChoI4oRzTmRZcPgvwK0zYjH5I0l+gCMA2luY5SKEGeokAg8CxtTJydppcxBUTN1jApoYXNfdWludDMylEsAjAh1aW50ZWdlcpSKBZ60aeIAdWJ1Yi4=", "n": "3", "start": "0", "_shape": [], "dtype": "int64", "_np_random": "Generator(PCG64)"}, "n_envs": 16, "buffer_size": 10000, "batch_size": 256, "learning_starts": 1000, "tau": 1.0, "gamma": 0.98, "gradient_steps": 8, "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 0x7ce637e83d00>", "add": "<function ReplayBuffer.add at 0x7ce637e83d90>", "sample": "<function ReplayBuffer.sample at 0x7ce637e83e20>", "_get_samples": "<function ReplayBuffer._get_samples at 0x7ce637e83eb0>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7ce637e62d00>"}, "replay_buffer_kwargs": {}, "train_freq": {":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>", ":serialized:": "gAWVYQAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLEGgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMBHN0ZXCUhZRSlIaUgZQu"}, "use_sde_at_warmup": false, "exploration_initial_eps": 1.0, "exploration_final_eps": 0.005, "exploration_fraction": 0.2, "target_update_interval": 37, "_n_calls": 12512, "max_grad_norm": 10, "exploration_rate": 0.005, "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-5.15.120+-x86_64-with-glibc2.35 # 1 SMP Wed Aug 30 11:19:59 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "2.0.0a5", "PyTorch": "2.1.0+cu118", "GPU Enabled": "True", "Numpy": "1.23.5", "Cloudpickle": "2.2.1", "Gymnasium": "0.28.1", "OpenAI Gym": "0.25.2"}}