highrl

View on PyPIReverse Dependencies (0)

1.4.0 highrl-1.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl

Wheel Details

Project: highrl
Version: 1.4.0
Filename: highrl-1.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Download: [link]
Size: 453445
MD5: d0d6aab8035be8a8cffd77c2ff78fdba
SHA256: 7b0bd095e5882747b3c26b21cbe60ab1639d5dbe1c2d70aeac4a70ddbb2aef21
Uploaded: 2023-03-04 18:00:49 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: highrl
Version: 1.4.0
Summary: Two level RL for robots navigation
Author-Email: Ahmed Heakl <ahmed.heakl[at]ejust.edu.eg>
Project-Url: repository, https://github.com/ahmedheakl/multi-level-rl-for-robotics
Keywords: reinforcement learning,robots,robot navigation,hierarchical reinforcement learning
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Requires-Dist: Cython (>=0.29.32)
Requires-Dist: gym (==0.21.0)
Requires-Dist: numpy (>=1.21.0)
Requires-Dist: pandas (>=1.3.5)
Requires-Dist: prettytable (>=3.5.0)
Requires-Dist: pyglet (==1.5.26)
Requires-Dist: pymap2d (>=0.1.15)
Requires-Dist: rich-argparse (>=0.5.0)
Requires-Dist: setuptools (>=45.2.0)
Requires-Dist: stable-baselines3 (>=1.6.0)
Requires-Dist: torch (>=1.12.1)
Requires-Dist: tensorboard (>=2.12.0)
Requires-Dist: coloredlogs
Requires-Dist: build; extra == "build"
Requires-Dist: twine; extra == "build"
Requires-Dist: black; extra == "dev"
Requires-Dist: bumpver; extra == "dev"
Provides-Extra: build
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3162 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: false
Tag: cp38-cp38-manylinux_2_17_x86_64
Tag: cp38-cp38-manylinux2014_x86_64

RECORD

Path Digest Size
lidar2d_fast.cpython-38-x86_64-linux-gnu.so sha256=Gc6SwfYU8ivA6oOlwwiDDi3XX6YJXPzIdaK_3yh9hig 972688
highrl-1.4.0.dist-info/top_level.txt sha256=3G6GbGdvZ-2QhNOEqgSBqECpz5f_M7amdORksoDVW8M 20
highrl-1.4.0.dist-info/LICENSE sha256=tVhve-AV0ROif9pwcLcQi5p50LaroJnNhtNv0DGg5oo 1085
highrl-1.4.0.dist-info/RECORD
highrl-1.4.0.dist-info/WHEEL sha256=82Wkr2Lag2dORBGM375Z9_JVKxb2Fhvp7wOacHsh7mU 148
highrl-1.4.0.dist-info/METADATA sha256=YNtCK8SlAzUCR2jhJNE5BRZ5biWIEy4ysBHM0I9OLhk 4361
highrl-1.4.0.dist-info/entry_points.txt sha256=S1e0jccawvHxAWLZKvXlX_mIncs9PMHcSyKT7p-uSn4 48
highrl/__main__.py sha256=s9QVa1b9k_GIp9BlkM1N4Z0-soJP0NIizWpt9dDBkTw 4285
highrl/__init__.py sha256=Y_Ga9dj4pOlnjalQAIfPlCxXvV446od4k2oqcIf-84E 163
highrl/graphs/model_training_plot_styles.py sha256=pxG3MvW-wAa_VAWn4jXTwWChXUXNDMfF12ifaTFh0ss 3731
highrl/graphs/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
highrl/graphs/plot_using_max_of_points.py sha256=HvMMGcSgneFz2eUelrWX6SEEdf2wJeGngY9HW-hCYJk 1054
highrl/graphs/plot_using_averages.py sha256=SNHNE8jzXLG0vgdoIWaRs0bt4VDZZq8W3EAWYAw4HdU 1073
highrl/graphs/plot_using_smoothing.py sha256=EAEpGrhOpb_JqfAu3VssZeIOv60w7Vjy0xxa7JO4BWg 1066
highrl/graphs/plot_using_min_of_points.py sha256=tSPJ2XWQYi3eTqoFrhRSOuArxfMPmSn7s69-IopOv2U 1056
highrl/configs/__init__.py sha256=tOcYSLiHVNH2A5VHbYJMwULlBrLQR3Ggxxv9moZYvjQ 220
highrl/configs/configurations.py sha256=L3jBMtFsgLzgkfrKySvKI8XOicJD3yqmVn7WRiQjIdY 2752
highrl/configs/colors.py sha256=z6tCsadhJrOD1VvJs0mTuB3j7uGwjeIznI2ZT3ct5YM 408
highrl/callbacks/teacher_callback.py sha256=eVJv9w5F2Ul4ls1lnpk9rpn8LozRMTLU3BRKGULzKnk 6816
highrl/callbacks/robot_callback.py sha256=p-Eyq20WalIeVb6QI6CfOEuBwWv9yNu_XlXp7-BpHi4 11679
highrl/callbacks/__init__.py sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs 1
highrl/obstacle/obstacles.py sha256=Al4LlV0BO-wXaydQkhCZvlO_8YlVkLnb2v3N_Rfx8Gg 1658
highrl/obstacle/__init__.py sha256=I7gB3qYPr3ZikL8G1ptsV99vFGFkf8YhfNcIeQhxNo8 226
highrl/obstacle/single_obstacle.py sha256=VJRgZ6FzFBFz9SoglRKXeFAvXZrtiP6-fj1QcgUA97U 1948
highrl/envs/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
highrl/envs/eval_env.py sha256=gMHmWcETNsyqVg1rR3tUXSBpEI5AaWBdjqj3n5LIRYM 3601
highrl/envs/env_encoders.py sha256=2Pcx0z8AvLDCIpyyfs3KVV2L5NkR0IqBe46tb5UW77c 6654
highrl/envs/teacher_env.py sha256=Ci-FxdZlCJcj1d9plGzW7SwEJ4QcDvNSYEWhU3w0zjs 10093
highrl/envs/robot_env.py sha256=hrJ6LuQTSah1zddyRJD7uRIf9DtEsv5qxBHK2sY0qsM 15077
highrl/agents/robot.py sha256=oC-IX4e2UBbSNn-Zrl4FH4tAwBnY6Sv7JT213yop4NU 293
highrl/agents/__init_.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
highrl/agents/agent.py sha256=PSvkoAJnk3Dyhh_rsl-K0z8kb9HhlWOx-Ba1U-2Pb9s 10865
highrl/utils/teacher_utils.py sha256=3mkXPh4v_s14bx-hgdlDqdCbt89N974tWXoPpMlvWpI 6133
highrl/utils/training_utils.py sha256=SsueN2KTjnUFKzGdPULqx_6GMD4jk1KK2YDI2-c4H5A 4604
highrl/utils/logger.py sha256=S11-Ma41xHibg1XyTBCtarwXkWDXTa_2IAZncltAjLM 1085
highrl/utils/__init__.py sha256=_eSzh2QzLnYwn5vRhyh3qDjkg8OH53tOpENmrsnIn-w 106
highrl/utils/parser.py sha256=NrmeqHODUm0QnZmhIWkjQoheKCp4aw3rOx06GLPUEfk 6735
highrl/utils/action.py sha256=bw8JtKacFksOimHnoeLlAaJCbRoPtpHLNGYwqTKKh6o 183
highrl/utils/teacher_checker.py sha256=6g6-xS_SLijS8Ypz6IwP4cvgfLvKM2Cq6GGw_rETvkA 8470
highrl/utils/calculations.py sha256=k6ZrGV7guwA0kGJnpY9SanXoXxz7O7GqRfLZ5RXWUaY 2245
highrl/utils/robot_utils.py sha256=k-B5Ns3kKItCJhLXsKbEF_kE-vrrtToDCmlzuXPPEzw 1297
highrl/utils/abstract.py sha256=LxYF-0rvudrskoQyBERb1eKbYz0WroPQOku37zrfiUA 3979
highrl/utils/general.py sha256=zgxdxSsMQVKzguVm5ZbVtJhIlUYq2z-FoveHnMDYY8U 7797
highrl/lidar_setup/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
highrl/lidar_setup/rings.py sha256=CohNY1TnTbKwm9fW_POF4L178zuHk3EGMALtAGHZbd4 4284
highrl/policy/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
highrl/policy/policy_networks.py sha256=tk-eVDuqv-ZLqGXv-lIyZmBOJSBFUnBd_eRCSrHzuzA 3054
highrl/policy/feature_extractors.py sha256=QndJMtFUBewN4N_EFFwQZHdZ9a-4mqbg1rqNz8gOAK8 4721

top_level.txt

highrl
lidar2d_fast

entry_points.txt

highrl = highrl.__main__:main