* Avoid warning about swap being unlimited
Currently we get the following message on Jenkins:
"Your kernel does not support swap limit capabilities or the cgroup is not mounted. Memory limited without swap."
Since we're not limiting swap anyway, we might as well avoid trying to.
https://docs.docker.com/config/containers/resource_constraints/#--memory-swap-details
* Fix escaping in re.search()
* Fix escaping in _noisy_layer()
* Raise a more descriptive error when dashboard data isn't found
* Don't error on dashboard files not being found when webui isn't required
* Change dashboard error to a warning instead
* Fix common.fbs rename (due to apache/arrow/commit/bef9a1c251397311a6415d3dc362ef419d154caa)
* Add missing COPTS
* Use socketpair(AF_INET) if boost::asio::local is unavailable (e.g. on Windows)
* Fix compile bug in service_based_gcs_client_test.cc (fix build breakage in #6686)
* Work around googletest/gmock inability to specify override to avoid -Werror,-Winconsistent-missing-override
* Fix missing override on IsPlasmaBuffer()
* Fix missing libraries for streaming
* Factor out install-toolchains.sh
* Put some Bazel flags into .bazelrc
* Fix jni_md.h missing inclusion
* Add ~/bin to PATH for Bazel
* Change echo $$(date) > $@ to date > $@
* Fix lots of unquoted paths
* Add system() call checks for Windows
Co-authored-by: GitHub Web Flow <noreply@github.com>
* Revert "Revert "Support of scikit-learn with ray joblib backend (#6925)" (#6957)"
This reverts commit 86100bc119.
* adding scikit-learn to dependencies
* Add `RandomEnv` example to examples folder.
Convert warning into Error message when using an LSTM in a non-shared-vf network (after the warning, the program would crash).
* LINT.
* Fix issue #6884. LSTM + non-shared vf NN + PPO crashes when using a Tuple action space.
* LINT
* Change warning message for Model: shared_vf=False, LSTM=True cases.
* Bug fix.
* Add examples/random_env.py test to Jenkins.
* Remove all __future__ imports from RLlib.
* Remove (object) again from tf_run_builder.py::TFRunBuilder.
* Fix 2xLINT warnings.
* Fix broken appo_policy import (must be appo_tf_policy)
* Remove future imports from all other ray files (not just RLlib).
* Remove future imports from all other ray files (not just RLlib).
* Remove future import blocks that contain `unicode_literals` as well.
Revert appo_tf_policy.py to appo_policy.py (belongs to another PR).
* Add two empty lines before Schedule class.
* Put back __future__ imports into determine_tests_to_run.py. Fails otherwise on a py2/print related error.
* Unifying the code for PGTrainer/Policy wrt tf vs torch.
Adding loss function test cases for the PGAgent (confirm equivalence of tf and torch).
* Fix LINT line-len errors.
* Fix LINT errors.
* Fix `tf_pg_policy` imports (formerly: `pg_policy`).
* Rename tf_pg_... into pg_tf_... following <alg>_<framework>_... convention, where ...=policy/loss/agent/trainer.
Retire `PGAgent` class (use PGTrainer instead).
* - Move PG test into agents/pg/tests directory.
- All test cases will be located near the classes that are tested and
then built into the Bazel/Travis test suite.
* Moved post_process_advantages into pg.py (from pg_tf_policy.py), b/c
the function is not a tf-specific one.
* Fix remaining import errors for agents/pg/...
* Fix circular dependency in pg imports.
* Add pg tests to Jenkins test suite.
