File size: 18,628 Bytes
9ababb0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 |
{
"policy_class": {
":type:": "<class 'abc.ABCMeta'>",
":serialized:": "gAWVOwAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMEUFjdG9yQ3JpdGljUG9saWN5lJOULg==",
"__module__": "stable_baselines3.common.policies",
"__doc__": "\n Policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\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 ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\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 share_features_extractor: If True, the features extractor is shared between the policy and value networks.\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 ActorCriticPolicy.__init__ at 0x7f4999a90d30>",
"_get_constructor_parameters": "<function ActorCriticPolicy._get_constructor_parameters at 0x7f4999a90dc0>",
"reset_noise": "<function ActorCriticPolicy.reset_noise at 0x7f4999a90e50>",
"_build_mlp_extractor": "<function ActorCriticPolicy._build_mlp_extractor at 0x7f4999a90ee0>",
"_build": "<function ActorCriticPolicy._build at 0x7f4999a90f70>",
"forward": "<function ActorCriticPolicy.forward at 0x7f4999a92040>",
"extract_features": "<function ActorCriticPolicy.extract_features at 0x7f4999a920d0>",
"_get_action_dist_from_latent": "<function ActorCriticPolicy._get_action_dist_from_latent at 0x7f4999a92160>",
"_predict": "<function ActorCriticPolicy._predict at 0x7f4999a921f0>",
"evaluate_actions": "<function ActorCriticPolicy.evaluate_actions at 0x7f4999a92280>",
"get_distribution": "<function ActorCriticPolicy.get_distribution at 0x7f4999a92310>",
"predict_values": "<function ActorCriticPolicy.predict_values at 0x7f4999a923a0>",
"__abstractmethods__": "frozenset()",
"_abc_impl": "<_abc._abc_data object at 0x7f4999e5a980>"
},
"verbose": 1,
"policy_kwargs": {
":type:": "<class 'dict'>",
":serialized:": "gAWVowAAAAAAAAB9lCiMDGxvZ19zdGRfaW5pdJRK/v///4wKb3J0aG9faW5pdJSJjA9vcHRpbWl6ZXJfY2xhc3OUjBN0b3JjaC5vcHRpbS5ybXNwcm9wlIwHUk1TcHJvcJSTlIwQb3B0aW1pemVyX2t3YXJnc5R9lCiMBWFscGhhlEc/764UeuFHrowDZXBzlEc+5Pi1iONo8YwMd2VpZ2h0X2RlY2F5lEsAdXUu",
"log_std_init": -2,
"ortho_init": false,
"optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>",
"optimizer_kwargs": {
"alpha": 0.99,
"eps": 1e-05,
"weight_decay": 0
}
},
"observation_space": {
":type:": "<class 'gym.spaces.box.Box'>",
":serialized:": "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",
"dtype": "float32",
"_shape": [
22
],
"low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf -inf -inf -inf -inf -inf -inf -inf]",
"high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf\n inf inf inf inf]",
"bounded_below": "[False False False False False False False False False False False False\n False False False False False False False False False False]",
"bounded_above": "[False False False False False False False False False False False False\n False False False False False False False False False False]",
"_np_random": null
},
"action_space": {
":type:": "<class 'gym.spaces.box.Box'>",
":serialized:": "gAWVPAwAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLBoWUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWGAAAAAAAAAAAAIC/AACAvwAAgL8AAIC/AACAvwAAgL+UaAtLBoWUjAFDlHSUUpSMBGhpZ2iUaBMolhgAAAAAAAAAAACAPwAAgD8AAIA/AACAPwAAgD8AAIA/lGgLSwaFlGgWdJRSlIwNYm91bmRlZF9iZWxvd5RoEyiWBgAAAAAAAAABAQEBAQGUaAiMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLBoWUaBZ0lFKUjA1ib3VuZGVkX2Fib3ZllGgTKJYGAAAAAAAAAAEBAQEBAZRoIksGhZRoFnSUUpSMCl9ucF9yYW5kb22UjBRudW1weS5yYW5kb20uX3BpY2tsZZSMEl9fcmFuZG9tc3RhdGVfY3RvcpSTlIwHTVQxOTkzN5RoLowUX19iaXRfZ2VuZXJhdG9yX2N0b3KUk5SGlFKUfZQojA1iaXRfZ2VuZXJhdG9ylIwHTVQxOTkzN5SMBXN0YXRllH2UKIwDa2V5lGgTKJbACQAAAAAAAAAAAIBTwrOchwO1k3Lsq1vo5rLyz7aB2tUG72GhMU2ga7XM2RPmGJ90nHkvyKUbgMR5AUmeD0PkXeAYk5ITVczUSilk0giVvjTQnkRyegPwrb8Kc5t7PulgsQbadQNFC2591hZq6wQ0ZoO38/WlL2nvQmNDtVz3wndSzEZENy0IiW7Qjq53+xi2gE97nvlPMuwS2LmOXoWpGcquPXYtZytCgJ7F7scf9SIBXUvPJA/MGVJkRFeYcJ0K9RIXtela3jvE/0HPOrFftofdM9hYiaqizX97P8mUt2wPQx8xmX0bYJCrtwcdGUzeyPuOugD1z6ka3iX+IAalFvzQduPBTvXKQ9MBWnnfUFetzaqYhTrP0WHhMA/Ht9nWRUX4vUiuWi77gKSTLtizn2cHsqRyJMj43mOVvrbJtm3T5laAgDosou93H+ZNC0HiTVqmVP8Lsv3/JsoIWfaq43/tiUiTGgfVTTF1psbquA6tH5Icya9TC+0oH7X0htvTuZKBVDKM0C+fIAM8l/emTHKVm2ft/85WlYRpZ+XoFwvDLSCusSBQr4f7w/xdYy4GCKdeDDOfezLj5k6WvjminpO26pfQqfP9LJIYOUEgrwmoo5vMHp8a36i8kcQzwqUvi94rCQuS64xYFp7HcUF1aySvLmqGyXEyCeTa2GHwNpeYB9u4jyPRKocxbWSV4hOL16R9fH95KLmFfUaMD8zrZmLG5rLUfzMf1WOxNFwZpzInS+HWE1F4MWg2xcVst8upoi9ssNCNjtPbz1ley6m8DG7YZVNupay35yQ8/PAfu8uKRQsL7B4ArDFquqb66ABeDLPvviZ4c6y9Bi67Xye+uu6eNlYO/Boq5iiETBR9Kemi0T1eFf33JRNzywY9CJ1N9eTOb+3wxY/yK3iXhVISAMufwZby3YMCHwTAVr8o4ahkQaNipnYgwDvQT4XYuqBpmVAsUw41MjHfK43kXZ7UxPi/bB0FEr1H6UYynEiI2V3I7DDEsMFNEMyF3sA+J2YPBAGe9oh5woVr3lu3AeREERRPmD778jQMODrzkRfg4w7Zi1M+ozc9CW5Lim4SEBBFW6Q0ZKHiBgOBwE8pmXhOE1/4b4TsSX1+ZYlw/f1KJ/Doyf4YSKwzVGEdjTldkdS/lbivyQPaNIsxj4ggvb4u1CtbuK3vLbz6wSJwugR9g6TL1kkXqXR9H6xcRrB/5EQf0u+1EnjLN/GvsqKw2mvVrG/Vp7kINdL5dPO44b8Emce+3xqudjVdYf1J2QI56iTowjwYEK2NMLEnklukjknSLQDrqYlpFb0sx8/oKKXf9xVFD243YpO1XejusnBjhcKePsMmaqtTCh8MOXsSTQ+g3vDQeHxgc7LyqE/DtXwAt2Nmft5i2MJAiV1C8dszUjvdG0ItC9AYUxdQInTbakZGpO9lfldZKLOpuBfpMmYjosMX3Bylh5qUHtwPB6V+p2nMdGbKNFshf1v7Di6P/9oNGA/ZKCI4Cr8P/3/RJuAr8TQVDJyWE1UCRsrBeEDEoZzOm8mjDSYUVQC3/l9PkoCyZBMC3ynQWysYwNN+ThHNmCplKb6KFVFLfvVPHe3CkYDWCij8Ah8mHyyUkLeGRHU4YI3ssA8YLBsz2seUpJTi66EmJ9/X3qH2rWQ8yV3r3z0x8otWS8KXuh8JG6s9Rbjpx4koT3nWxAPW/xwrQcrUma4FMJcB6UJQIgU0saTe0xc1Wa64UXejfFvhXhPUgBgh8F3IRUeEghk4T8kRjv11pDDyeNgS1DpjBnqQ0IFh+uOrY6CUhNxF3AOYg0vjaujoedtaAtlDwJ78SI9UG1YfCG8ZQcrUU043NHNeBPXMoSD5YCKB64rhBUjF0hMzhi9TJi+lAm4l37EYPWejsFggpd1XhoOWxGdZIyZL7NPJO8LT5OAEwI2ky90KGNoH9dOsxWybS+A+YJizCfTrsxNhZ+bmgKqqY1yKqhF8UvY7abEVPVUxwoOvEcF0FSFIblSYB6vHzooATK1uwJufo46PxjTZXBXKfNd3RYl8uKh4YxkhIzV6d5Z9NzWZDoKl0PEmpSZTzr8qwEvcFvRLY0CoXKwUlkrEPAt6PzHP7EfwjEQfOWSKI0f7YgirTrrcUDCLrCDp2ByvIOpD6U0PCfz3yfKWtxhKGKAOu2sUE17MrHdmOmQ8Kc9R5AHiElStgJQnLkLLK0L/HVSwHIp7P9pI0RaeVafNh0l/Y+govRh+ZpHcqlfOL1rHcEc+CTVx2aB1WSp68UnQNR1MEVCP+aFoqpxpPSsokuDL/XUCFZbidfv6QB2BHRvWICx4jRNswO2iEG6qpRl+ox9Qqx0jy/Zp5R3T4io6M8EV7tNlELs5RiZ/vz1JFOnD2Cy3i3PHu0tqnwmcW3aR4qGp3e8GCqm+WzG/HQNw8L5uj+oiV0qICfkPtM+N5YvMnWCamTWZUo7JY6/9nOVFN97zISwyxFyB0/Fs67EuOU7CjW4WH02Meg7P/FucjrYjj1nNPn0ZQI20AvvhSqOVGjJdnkQsSOFOf4Xl9h8SRjZOdKyAo7hbBv/EPjVLiYEvstxTIXvrJtXtjHQvpXZAahJ/KEcWoxAmz+Fos89bXyZYlv9QOX3Rk31MTNx1e9myYJ6rMJqALpgMend+in7mcBBKdP8HK3aPvP7pyeX9pmHqgqznGsQya7OksVtc1Wh/2E2ZfkTQNDYzy4Gqp5b3mnrPzJKc7FREA7byhhaxtXJ5ho2VYtms60gxkNGONt5xJLAwuWsGHDiZlWG3gOA5DEjX4/uw8dksx/z1T7ly1/WsPSvUBeDJePM7Eq8LFYyGvPoCHX37NqX9sAinD7RXs+rzk9FA7hR5JyYzA4NHyNw58gu4yajvFeF6Zj8mq06dySURoZqkx4aWSJ5+9CTH0vkRa8ufqy0jjNE/illfH2I7PXsgomYo5UeAIgA6KF5vRvCSM2Qi2V9g7cvN4ss+4EM0sWDu1C7k09bLbxricGwT+CzIS15G8XYQJgUg4mDTp3NzvshbDuj7PVDkA/EuD26/IWeJhY24nKTut+UsKZhyDWA3rnsJZ9/xh8+vS6Qo5qZyj3hfWcV3KujEeJCVFdo/3UM6oy54jWkJqzJFC3SO1tbDF0RXLM/cbNRlcFaprTFcLPB7b1zGDZqLAq64ABV9oIT8+3VwlerzC+WIXzWwwM8xujB3367Ja4TGr977ZbfBZ5XeFWh+iITJKMGsk9ZUlb375ShwlsLSmk3Dma0eS2RmpSTqRW1SBVDgKPi52P9uW5nNypaMi84Ik7nYz7FxBjzTwSLxP+XDBL1OC67NDd7QpHuGm2A1xfX9eEK8C5RoCIwCdTSUiYiHlFKUKEsDaAxOTk5K/////0r/////SwB0lGJNcAKFlGgWdJRSlIwDcG9zlE1wAnWMCWhhc19nYXVzc5RLAIwFZ2F1c3OURwAAAAAAAAAAdWJ1Yi4=",
"dtype": "float32",
"_shape": [
6
],
"low": "[-1. -1. -1. -1. -1. -1.]",
"high": "[1. 1. 1. 1. 1. 1.]",
"bounded_below": "[ True True True True True True]",
"bounded_above": "[ True True True True True True]",
"_np_random": "RandomState(MT19937)"
},
"n_envs": 1,
"num_timesteps": 2000000,
"_total_timesteps": 2000000,
"_num_timesteps_at_start": 0,
"seed": 0,
"action_noise": null,
"start_time": 1671037634985154958,
"learning_rate": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"tensorboard_log": "runs/Walker2DBulletEnv-v0__a2c__1361160612__1671037632/Walker2DBulletEnv-v0",
"lr_schedule": {
":type:": "<class 'function'>",
":serialized:": "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"
},
"_last_obs": null,
"_last_episode_starts": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="
},
"_last_original_obs": {
":type:": "<class 'numpy.ndarray'>",
":serialized:": "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"
},
"_episode_num": 0,
"use_sde": true,
"sde_sample_freq": -1,
"_current_progress_remaining": 0.0,
"ep_info_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "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"
},
"ep_success_buffer": {
":type:": "<class 'collections.deque'>",
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
},
"_n_updates": 62500,
"n_steps": 8,
"gamma": 0.99,
"gae_lambda": 0.9,
"ent_coef": 0.0,
"vf_coef": 0.4,
"max_grad_norm": 0.5,
"normalize_advantage": false
} |