| { | |
| "policy_class": { | |
| ":type:": "<class 'abc.ABCMeta'>", | |
| ":serialized:": "gAWVMAAAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLnRkMy5wb2xpY2llc5SMCVREM1BvbGljeZSTlC4=", | |
| "__module__": "stable_baselines3.td3.policies", | |
| "__doc__": "\n Policy class (with both actor and critic) for TD3.\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 :param n_critics: Number of critic networks to create.\n :param share_features_extractor: Whether to share or not the features extractor\n between the actor and the critic (this saves computation time)\n ", | |
| "__init__": "<function TD3Policy.__init__ at 0x7f06ff22e940>", | |
| "_build": "<function TD3Policy._build at 0x7f06ff22e9d0>", | |
| "_get_constructor_parameters": "<function TD3Policy._get_constructor_parameters at 0x7f06ff22ea60>", | |
| "make_actor": "<function TD3Policy.make_actor at 0x7f06ff22eaf0>", | |
| "make_critic": "<function TD3Policy.make_critic at 0x7f06ff22eb80>", | |
| "forward": "<function TD3Policy.forward at 0x7f06ff22ec10>", | |
| "_predict": "<function TD3Policy._predict at 0x7f06ff22eca0>", | |
| "set_training_mode": "<function TD3Policy.set_training_mode at 0x7f06ff22ed30>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7f06ff230f40>" | |
| }, | |
| "verbose": 1, | |
| "policy_kwargs": { | |
| "net_arch": [ | |
| 400, | |
| 300 | |
| ] | |
| }, | |
| "observation_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "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", | |
| "dtype": "float32", | |
| "_shape": [ | |
| 15 | |
| ], | |
| "low": "[-inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf -inf\n -inf]", | |
| "high": "[inf inf inf inf inf inf inf inf inf inf inf inf inf inf inf]", | |
| "bounded_below": "[False False False False False False False False False False False False\n False False False]", | |
| "bounded_above": "[False False False False False False False False False False False False\n False False False]", | |
| "_np_random": null | |
| }, | |
| "action_space": { | |
| ":type:": "<class 'gym.spaces.box.Box'>", | |
| ":serialized:": "gAWVHgwAAAAAAACMDmd5bS5zcGFjZXMuYm94lIwDQm94lJOUKYGUfZQojAVkdHlwZZSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGKMBl9zaGFwZZRLA4WUjANsb3eUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWDAAAAAAAAAAAAIC/AACAvwAAgL+UaAtLA4WUjAFDlHSUUpSMBGhpZ2iUaBMolgwAAAAAAAAAAACAPwAAgD8AAIA/lGgLSwOFlGgWdJRSlIwNYm91bmRlZF9iZWxvd5RoEyiWAwAAAAAAAAABAQGUaAiMAmIxlImIh5RSlChLA4wBfJROTk5K/////0r/////SwB0lGJLA4WUaBZ0lFKUjA1ib3VuZGVkX2Fib3ZllGgTKJYDAAAAAAAAAAEBAZRoIksDhZRoFnSUUpSMCl9ucF9yYW5kb22UjBRudW1weS5yYW5kb20uX3BpY2tsZZSMEl9fcmFuZG9tc3RhdGVfY3RvcpSTlIwHTVQxOTkzN5RoLowUX19iaXRfZ2VuZXJhdG9yX2N0b3KUk5SGlFKUfZQojA1iaXRfZ2VuZXJhdG9ylIwHTVQxOTkzN5SMBXN0YXRllH2UKIwDa2V5lGgTKJbACQAAAAAAAAAAAIBTwrOchwO1k3Lsq1vo5rLyz7aB2tUG72GhMU2ga7XM2RPmGJ90nHkvyKUbgMR5AUmeD0PkXeAYk5ITVczUSilk0giVvjTQnkRyegPwrb8Kc5t7PulgsQbadQNFC2591hZq6wQ0ZoO38/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": [ | |
| 3 | |
| ], | |
| "low": "[-1. -1. -1.]", | |
| "high": "[1. 1. 1.]", | |
| "bounded_below": "[ True True True]", | |
| "bounded_above": "[ True True True]", | |
| "_np_random": "RandomState(MT19937)" | |
| }, | |
| "n_envs": 1, | |
| "num_timesteps": 1000804, | |
| "_total_timesteps": 1000000, | |
| "_num_timesteps_at_start": 0, | |
| "seed": 0, | |
| "action_noise": { | |
| ":type:": "<class 'stable_baselines3.common.noise.NormalActionNoise'>", | |
| ":serialized:": "gAWVCgEAAAAAAACMHnN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5ub2lzZZSMEU5vcm1hbEFjdGlvbk5vaXNllJOUKYGUfZQojANfbXWUjBJudW1weS5jb3JlLm51bWVyaWOUjAtfZnJvbWJ1ZmZlcpSTlCiWGAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJmOJSJiIeUUpQoSwOMATyUTk5OSv////9K/////0sAdJRiSwOFlIwBQ5R0lFKUjAZfc2lnbWGUaAgolhgAAAAAAAAAmpmZmZmZuT+amZmZmZm5P5qZmZmZmbk/lGgPSwOFlGgTdJRSlHViLg==", | |
| "_mu": "[0. 0. 0.]", | |
| "_sigma": "[0.1 0.1 0.1]" | |
| }, | |
| "start_time": 1672220658118321424, | |
| "learning_rate": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "tensorboard_log": "runs/HopperBulletEnv-v0__td3__3733886364__1672220655/HopperBulletEnv-v0", | |
| "lr_schedule": { | |
| ":type:": "<class 'function'>", | |
| ":serialized:": "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" | |
| }, | |
| "_last_obs": null, | |
| "_last_episode_starts": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVdAAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYBAAAAAAAAAAGUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwGFlIwBQ5R0lFKULg==" | |
| }, | |
| "_last_original_obs": { | |
| ":type:": "<class 'numpy.ndarray'>", | |
| ":serialized:": "gAWVsQAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJY8AAAAAAAAAE4jlj0AAAAAAACAPysIQz8AAAAAncmGPgAAAADQk3i/07qWPqW/3b1IYXk+/tYuPlJ+hz56qR0/AAAAAJSMBW51bXB5lIwFZHR5cGWUk5SMAmY0lImIh5RSlChLA4wBPJROTk5K/////0r/////SwB0lGJLAUsPhpSMAUOUdJRSlC4=" | |
| }, | |
| "_episode_num": 3268, | |
| "use_sde": false, | |
| "sde_sample_freq": -1, | |
| "_current_progress_remaining": -0.0008040000000000269, | |
| "ep_info_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "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" | |
| }, | |
| "ep_success_buffer": { | |
| ":type:": "<class 'collections.deque'>", | |
| ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg==" | |
| }, | |
| "_n_updates": 990812, | |
| "buffer_size": 1, | |
| "batch_size": 100, | |
| "learning_starts": 10000, | |
| "tau": 0.005, | |
| "gamma": 0.98, | |
| "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 0x7f06ff22a430>", | |
| "add": "<function ReplayBuffer.add at 0x7f06ff22a4c0>", | |
| "sample": "<function ReplayBuffer.sample at 0x7f06ff22a550>", | |
| "_get_samples": "<function ReplayBuffer._get_samples at 0x7f06ff22a5e0>", | |
| "__abstractmethods__": "frozenset()", | |
| "_abc_impl": "<_abc._abc_data object at 0x7f06ff220e00>" | |
| }, | |
| "replay_buffer_kwargs": {}, | |
| "train_freq": { | |
| ":type:": "<class 'stable_baselines3.common.type_aliases.TrainFreq'>", | |
| ":serialized:": "gAWVZAAAAAAAAACMJXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi50eXBlX2FsaWFzZXOUjAlUcmFpbkZyZXGUk5RLAWgAjBJUcmFpbkZyZXF1ZW5jeVVuaXSUk5SMB2VwaXNvZGWUhZRSlIaUgZQu" | |
| }, | |
| "use_sde_at_warmup": false, | |
| "policy_delay": 2, | |
| "target_noise_clip": 0.5, | |
| "target_policy_noise": 0.2, | |
| "actor_batch_norm_stats": [], | |
| "critic_batch_norm_stats": [], | |
| "actor_batch_norm_stats_target": [], | |
| "critic_batch_norm_stats_target": [] | |
| } |