Hi.

I am trying to install deluca and I get an Exception error. I am using

Ubuntu 64 on a virtual machine Pycharm CE 2021.2, Python 3.8 pip 212.1.2

I tried to install deluca with the package manager in Pycharm, the terminal in Pycharm and also the Ubuntu terminal. The error is the same. Note that I can install other normal packages like Numpy, Scipy, etc with no problem. Thanks in advance and I am looking forward to using this amazing package!

pip install deluca
Collecting deluca
   Using cached deluca-0.0.17-py3-none-any.whl (52 kB)
Collecting flax
   Using cached flax-0.3.4-py3-none-any.whl (183 kB)
Collecting brax
   Using cached brax-0.0.4-py3-none-any.whl (117 kB)
Processing
./.cache/pip/wheels/78/ae/07/bd3adac873fa80efc909c09331831905ac657dbb8d1278235e/jax-0.2.19-py3-none-any.whl
Collecting optax
   Using cached optax-0.0.9-py3-none-any.whl (118 kB)
Collecting scipy
   Using cached
scipy-1.7.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.whl (28.4 MB)
Collecting numpy
   Using cached
numpy-1.21.2-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl
(15.8 MB)
Collecting matplotlib
   Using cached matplotlib-3.4.3-cp38-cp38-manylinux1_x86_64.whl (10.3 MB)
Collecting msgpack
   Using cached msgpack-1.0.2-cp38-cp38-manylinux1_x86_64.whl (302 kB)
Collecting grpcio
   Using cached grpcio-1.39.0-cp38-cp38-manylinux2014_x86_64.whl (4.3 MB)
Collecting clu
   Using cached clu-0.0.6-py3-none-any.whl (77 kB)
Collecting gym
   Using cached gym-0.19.0.tar.gz (1.6 MB)
Collecting absl-py
   Using cached absl_py-0.13.0-py3-none-any.whl (132 kB)
Collecting tfp-nightly[jax]<=0.13.0.dev20210422
   Using cached tfp_nightly-0.13.0.dev20210422-py2.py3-none-any.whl (5.3 MB)
Collecting jaxlib
   Using cached jaxlib-0.1.70-cp38-none-manylinux2010_x86_64.whl (46.9 MB)
Collecting dataclasses
   Using cached dataclasses-0.6-py3-none-any.whl (14 kB)
Collecting opt-einsum
   Using cached opt_einsum-3.3.0-py3-none-any.whl (65 kB)
Collecting chex>=0.0.4
   Using cached chex-0.0.8-py3-none-any.whl (57 kB)
Requirement already satisfied: pillow>=6.2.0 in
/usr/lib/python3/dist-packages (from matplotlib->flax->deluca) (7.0.0)
Collecting cycler>=0.10
   Using cached cycler-0.10.0-py2.py3-none-any.whl (6.5 kB)
Collecting pyparsing>=2.2.1
   Using cached pyparsing-2.4.7-py2.py3-none-any.whl (67 kB)
Collecting kiwisolver>=1.0.1
   Using cached kiwisolver-1.3.1-cp38-cp38-manylinux1_x86_64.whl (1.2 MB)
Requirement already satisfied: python-dateutil>=2.7 in
/usr/lib/python3/dist-packages (from matplotlib->flax->deluca) (2.7.3)
Requirement already satisfied: six>=1.5.2 in
/usr/lib/python3/dist-packages (from grpcio->brax->deluca) (1.14.0)
Collecting tensorflow-datasets
   Using cached tensorflow_datasets-4.4.0-py3-none-any.whl (4.0 MB)
Collecting packaging
   Using cached packaging-21.0-py3-none-any.whl (40 kB)
Collecting ml-collections
   Using cached ml_collections-0.1.0-py3-none-any.whl (88 kB)
Collecting tensorflow
   Downloading tensorflow-2.6.0-cp38-cp38-manylinux2010_x86_64.whl
(458.4 MB)
      |▋                               | 8.4 MB 16 kB/s eta
7:44:54ERROR: Exception:
Traceback (most recent call last):
   File
"/usr/share/python-wheels/urllib3-1.25.8-py2.py3-none-any.whl/urllib3/response.py",
line 425, in _error_catcher
     yield
   File
"/usr/share/python-wheels/urllib3-1.25.8-py2.py3-none-any.whl/urllib3/response.py",
line 507, in read
     data = self._fp.read(amt) if not fp_closed else b""
   File
"/usr/share/python-wheels/CacheControl-0.12.6-py2.py3-none-any.whl/cachecontrol/filewrapper.py",
line 62, in read
     data = self.__fp.read(amt)
   File "/usr/lib/python3.8/http/client.py", line 455, in read
     n = self.readinto(b)
   File "/usr/lib/python3.8/http/client.py", line 499, in readinto
     n = self.fp.readinto(b)
   File "/usr/lib/python3.8/socket.py", line 669, in readinto
     return self._sock.recv_into(b)
   File "/usr/lib/python3.8/ssl.py", line 1241, in recv_into
     return self.read(nbytes, buffer)
   File "/usr/lib/python3.8/ssl.py", line 1099, in read
     return self._sslobj.read(len, buffer)
socket.timeout: The read operation timed out

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
   File
"/usr/lib/python3/dist-packages/pip/_internal/cli/base_command.py", line
186, in _main
     status = self.run(options, args)
   File
"/usr/lib/python3/dist-packages/pip/_internal/commands/install.py", line
357, in run
     resolver.resolve(requirement_set)
   File
"/usr/lib/python3/dist-packages/pip/_internal/legacy_resolve.py", line
177, in resolve
     discovered_reqs.extend(self._resolve_one(requirement_set, req))
   File
"/usr/lib/python3/dist-packages/pip/_internal/legacy_resolve.py", line
333, in _resolve_one
     abstract_dist = self._get_abstract_dist_for(req_to_install)
   File
"/usr/lib/python3/dist-packages/pip/_internal/legacy_resolve.py", line
282, in _get_abstract_dist_for
     abstract_dist = self.preparer.prepare_linked_requirement(req)
   File
"/usr/lib/python3/dist-packages/pip/_internal/operations/prepare.py",
line 480, in prepare_linked_requirement
     local_path = unpack_url(
   File
"/usr/lib/python3/dist-packages/pip/_internal/operations/prepare.py",
line 282, in unpack_url
     return unpack_http_url(
   File
"/usr/lib/python3/dist-packages/pip/_internal/operations/prepare.py",
line 158, in unpack_http_url
     from_path, content_type = _download_http_url(
   File
"/usr/lib/python3/dist-packages/pip/_internal/operations/prepare.py",
line 303, in _download_http_url
     for chunk in download.chunks:
   File "/usr/lib/python3/dist-packages/pip/_internal/utils/ui.py", line
160, in iter
     for x in it:
   File "/usr/lib/python3/dist-packages/pip/_internal/network/utils.py",
line 15, in response_chunks
     for chunk in response.raw.stream(
   File
"/usr/share/python-wheels/urllib3-1.25.8-py2.py3-none-any.whl/urllib3/response.py",
line 564, in stream
     data = self.read(amt=amt, decode_content=decode_content)
   File
"/usr/share/python-wheels/urllib3-1.25.8-py2.py3-none-any.whl/urllib3/response.py",
line 529, in read
     raise IncompleteRead(self._fp_bytes_read, self.length_remaining)
   File "/usr/lib/python3.8/contextlib.py", line 131, in __exit__
     self.gen.throw(type, value, traceback)
   File
"/usr/share/python-wheels/urllib3-1.25.8-py2.py3-none-any.whl/urllib3/response.py",
line 430, in _error_catcher
     raise ReadTimeoutError(self._pool, None, "Read timed out.")
urllib3.exceptions.ReadTimeoutError:
HTTPSConnectionPool(host='files.pythonhosted.org', port=443): Read timed
out.

Internal change

FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/google/deluca/pull/57 from google:inverse_map baa4932444495538d91151653165cdcb386b52fc

Internal change

FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/google/deluca/pull/57 from google:inverse_map baa4932444495538d91151653165cdcb386b52fc

Internal change

FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/google/deluca/pull/57 from google:inverse_map baa4932444495538d91151653165cdcb386b52fc

Internal change

FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/google/deluca/pull/57 from google:inverse_map baa4932444495538d91151653165cdcb386b52fc

• Not clear what the benefits of compatibility are since existing agents that work on OpenAI Gym environments have no guarantee of working on deluca environments
• OpenAI Gym bundles environment with initialization and task. Not necessarily something we want to do.

Hello! I made some modifications to AdaGPC (in _adaptive.py). In the existing implementation, GPC outperforms AdaGPC in the known LDS setting, which is the opposite of what one should expect. Based on some preliminary experiments, I believe AdaGPC is now working properly (at least in the known dynamics version). (I also made some miscellaneous changes in other files, e.g., to the imports in some of the agent files -- I think there might have been some file restructuring across different versions of deluca, but the imports were not updated to reflect this change, causing some errors at runtime.) Please let me know if you have any questions/concerns. Thanks!

[JAX] Avoid private implementation detail _ScalarMeta.

The closest public approximation to type(jnp.float32) is type[Any]. Nothing is ever actually an instance of one of these types, either (they build DeviceArrays if instantiated.)

[JAX] Avoid private implementation detail _ScalarMeta.

The closest public approximation to type(jnp.float32) is type[Any]. Nothing is ever actually an instance of one of these types, either (they build DeviceArrays if instantiated.)

Internal change

FUTURE_COPYBARA_INTEGRATE_REVIEW=https://github.com/google/deluca/pull/57 from google:inverse_map baa4932444495538d91151653165cdcb386b52fc

Hi

Thanks for providing this interesting package.

I am trying to test drc on a simple setup and I notice that the current implementation of drc does not work. I mean when I try it for a simple partially observable linear system with A = np.array([[1.0 0.95], [0.0, -0.9]]), B = np.array([[0.0], [1.0]]) C = np.array([[1.0, 0]]) Q , R = I gaussian process noise, zero observation noise which is open loop stable, the controller acts like a zero controller. I tried to get a different response by setting the hyperparameters but they are mostly the same. Then I looked at the implementation at the deluca github and I noticed that the counterfactual cost is not defined correctly (if I am not wrong). According to Algorithm 1 in [1], we need to use M_t to compute y_t (which depends on the previous controls (u) using again M_t) but in the implementation, the previous controls based on M_{t-i} are used. Anyway, I implemented the algorithm using M_t but what I get after the simulation is either close to zero control or an unstable one.

I was wondering if you have any code example for the DRC algorithm that works? [1] Simchowitz, Max and Singh, Karan and Hazan, Elad, "Improper learning for non-stochastic control", COLT 2020.

Thanks a lot, Sincerely, Farnaz