首次配置成功rllab运行环境，给出anaconda下的配置

name: rllab
channels:
  - defaults
dependencies:
  - _libgcc_mutex=0.1=main
  - _openmp_mutex=5.1=1_gnu
  - _sysroot_linux-64_curr_repodata_hack=3=haa98f57_10
  - _tflow_select=2.1.0=gpu
  - absl-py=1.3.0=py37h06a4308_0
  - astor=0.8.1=py37h06a4308_0
  - binutils_impl_linux-64=2.38=h2a08ee3_1
  - binutils_linux-64=2.38.0=hc2dff05_0
  - blas=1.0=mkl
  - c-ares=1.19.0=h5eee18b_0
  - ca-certificates=2023.01.10=h06a4308_0
  - certifi=2022.12.7=py37h06a4308_0
  - cffi=1.15.1=py37h5eee18b_3
  - chainer=7.8.0=pyhd3eb1b0_0
  - cudatoolkit=9.0=h13b8566_0
  - cudnn=7.6.5=cuda9.0_0
  - cupti=9.0.176=0
  - cycler=0.11.0=pyhd3eb1b0_0
  - dbus=1.13.18=hb2f20db_0
  - expat=2.4.9=h6a678d5_0
  - flit-core=3.6.0=pyhd3eb1b0_0
  - fontconfig=2.14.1=h4c34cd2_2
  - freetype=2.12.1=h4a9f257_0
  - gast=0.5.3=pyhd3eb1b0_0
  - gcc_impl_linux-64=11.2.0=h1234567_1
  - gcc_linux-64=11.2.0=h5c386dc_0
  - giflib=5.2.1=h5eee18b_3
  - glib=2.69.1=he621ea3_2
  - google-pasta=0.2.0=pyhd3eb1b0_0
  - grpcio=1.42.0=py37hce63b2e_0
  - gst-plugins-base=1.14.1=h6a678d5_1
  - gstreamer=1.14.1=h5eee18b_1
  - gxx_impl_linux-64=11.2.0=h1234567_1
  - gxx_linux-64=11.2.0=hc2dff05_0
  - h5py=2.10.0=py37hd6299e0_1
  - hdf5=1.10.6=hb1b8bf9_0
  - icu=58.2=he6710b0_3
  - importlib-metadata=4.11.3=py37h06a4308_0
  - intel-openmp=2023.1.0=hdb19cb5_46305
  - joblib=1.1.1=py37h06a4308_0
  - jpeg=9e=h5eee18b_1
  - keras-applications=1.0.8=py_1
  - keras-preprocessing=1.1.2=pyhd3eb1b0_0
  - kernel-headers_linux-64=3.10.0=h57e8cba_10
  - kiwisolver=1.3.2=py37h295c915_0
  - krb5=1.19.4=h568e23c_0
  - lcms2=2.12=h3be6417_0
  - ld_impl_linux-64=2.38=h1181459_1
  - lerc=3.0=h295c915_0
  - libclang=14.0.6=default_hc6dbbc7_1
  - libclang13=14.0.6=default_he11475f_1
  - libdeflate=1.17=h5eee18b_0
  - libedit=3.1.20221030=h5eee18b_0
  - libevent=2.1.12=h8f2d780_0
  - libffi=3.4.4=h6a678d5_0
  - libgcc-devel_linux-64=11.2.0=h1234567_1
  - libgcc-ng=11.2.0=h1234567_1
  - libgfortran-ng=7.5.0=ha8ba4b0_17
  - libgfortran4=7.5.0=ha8ba4b0_17
  - libgomp=11.2.0=h1234567_1
  - libgpuarray=0.7.6=h7f8727e_1
  - libllvm14=14.0.6=hdb19cb5_3
  - libpng=1.6.39=h5eee18b_0
  - libpq=12.9=h16c4e8d_3
  - libprotobuf=3.20.3=he621ea3_0
  - libstdcxx-devel_linux-64=11.2.0=h1234567_1
  - libstdcxx-ng=11.2.0=h1234567_1
  - libtiff=4.5.0=h6a678d5_2
  - libuuid=1.41.5=h5eee18b_0
  - libwebp=1.2.4=h11a3e52_1
  - libwebp-base=1.2.4=h5eee18b_1
  - libxcb=1.15=h7f8727e_0
  - libxkbcommon=1.0.1=h5eee18b_1
  - libxml2=2.10.3=hcbfbd50_0
  - libxslt=1.1.37=h2085143_0
  - lz4-c=1.9.4=h6a678d5_0
  - mako=1.2.3=py37h06a4308_0
  - markdown=3.4.1=py37h06a4308_0
  - markupsafe=2.1.1=py37h7f8727e_0
  - matplotlib=3.3.2=h06a4308_0
  - matplotlib-base=3.3.2=py37h817c723_0
  - mkl=2018.0.3=1
  - mkl-service=1.1.2=py37h90e4bf4_5
  - mkl_fft=1.0.6=py37h7dd41cf_0
  - mkl_random=1.0.1=py37h4414c95_1
  - mpi=1.0=mpich
  - mpi4py=3.1.4=py37hfc96bbd_0
  - mpich=3.3.2=hc856adb_0
  - nccl=1.3.5=cuda9.0_0
  - ncurses=6.4=h6a678d5_0
  - ninja=1.10.2=h06a4308_5
  - ninja-base=1.10.2=hd09550d_5
  - nspr=4.35=h6a678d5_0
  - nss=3.89.1=h6a678d5_0
  - numpy=1.15.4=py37h1d66e8a_0
  - numpy-base=1.15.4=py37h81de0dd_0
  - openssl=1.1.1t=h7f8727e_0
  - packaging=22.0=py37h06a4308_0
  - pandas=1.1.5=py37h2531618_0
  - path=16.2.0=pyhd3eb1b0_0
  - path.py=12.5.0=hd3eb1b0_0
  - pcre=8.45=h295c915_0
  - pillow=9.4.0=py37h6a678d5_0
  - pip=22.3.1=py37h06a4308_0
  - ply=3.11=py37_0
  - pycparser=2.21=pyhd3eb1b0_0
  - pygpu=0.7.6=py37heb32a55_0
  - pyparsing=3.0.9=py37h06a4308_0
  - pyqt=5.15.7=py37h6a678d5_1
  - pyqt5-sip=12.11.0=py37h6a678d5_1
  - python=3.7.16=h7a1cb2a_0
  - python-dateutil=2.8.2=pyhd3eb1b0_0
  - pytorch=0.4.1=py37ha74772b_0
  - pytz=2022.7=py37h06a4308_0
  - qt-main=5.15.2=h8373d8f_8
  - qt-webengine=5.15.9=hbbf29b9_6
  - qtwebkit=5.212=h3fafdc1_5
  - readline=8.2=h5eee18b_0
  - scikit-learn=0.23.2=py37h0573a6f_0
  - scipy=1.1.0=py37hfa4b5c9_1
  - setuptools=65.6.3=py37h06a4308_0
  - sip=6.6.2=py37h6a678d5_0
  - six=1.16.0=pyhd3eb1b0_1
  - sqlite=3.41.2=h5eee18b_0
  - sysroot_linux-64=2.17=h57e8cba_10
  - tbb=2021.8.0=hdb19cb5_0
  - tbb4py=2021.7.0=py37hdb19cb5_0
  - tensorboard=1.14.0=py37hf484d3e_0
  - tensorflow=1.14.0=gpu_py37hae64822_0
  - tensorflow-base=1.14.0=gpu_py37h8f37b9b_0
  - tensorflow-estimator=1.14.0=py_0
  - tensorflow-gpu=1.14.0=h0d30ee6_0
  - termcolor=2.1.0=py37h06a4308_0
  - theano=1.0.2=py37h6bb024c_0
  - threadpoolctl=2.2.0=pyh0d69192_0
  - tk=8.6.12=h1ccaba5_0
  - toml=0.10.2=pyhd3eb1b0_0
  - torchvision=0.2.1=py37_0
  - tornado=6.2=py37h5eee18b_0
  - typing_extensions=4.4.0=py37h06a4308_0
  - werkzeug=2.2.2=py37h06a4308_0
  - wheel=0.38.4=py37h06a4308_0
  - wrapt=1.14.1=py37h5eee18b_0
  - xz=5.4.2=h5eee18b_0
  - zipp=3.11.0=py37h06a4308_0
  - zlib=1.2.13=h5eee18b_0
  - zstd=1.5.5=hc292b87_0
  - pip:
    - box2d==2.3.10
    - cached-property==1.5.2
    - charset-normalizer==3.1.0
    - cloudpickle==2.2.1
    - filelock==3.12.0
    - gym==0.7.4
    - idna==3.4
    - lasagne==0.1
    - mujoco-py==0.5.7
    - nose==1.3.7
    - plotly==5.14.1
    - protobuf==4.23.2
    - pygame==2.4.0
    - pyglet==1.3.0
    - pyopengl==3.1.7
    - pyprind==2.11.3
    - requests==2.31.0
    - tenacity==8.2.2
    - urllib3==2.0.2
prefix: /home/devil/anaconda3/envs/rllab

rllab运行环境是Reinforcement Learning的经典运行环境，虽然现在已经放弃维护了，但是也很有借鉴价值，曾经多次尝试配置该环境，但是由于该环境的依赖环境大都过期无法安装，因此如何在各个依赖环境的高阶版本中寻找出一个可以运行的版本搭配环境仿佛成了一个NP难题，最后还是经过各种手动调试版本参数才实现成功安装，这里给出具体的anaconda下的依赖环境版本。

源代码地址：

https://gitee.com/devilmaycry812839668/rllab

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