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‎LICENSE

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Code in python/ray/rllib/{evolution_strategies, dqn} adapted from
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https://github.com/openai (MIT License)
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The above copyright notice and this permission notice shall be included in
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Code in python/ray/rllib/impala/vtrace.py from
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https://github.com/deepmind/scalable_agent
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Copyright 2018 Google LLC
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Licensed under the Apache License, Version 2.0 (the "License");
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--------------------------------------------------------------------------------
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Code in python/ray/rllib/ars is adapted from https://github.com/modestyachts/ARS
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Copyright (c) 2018, ARS contributors (Horia Mania, Aurelia Guy, Benjamin Recht)
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All rights reserved.
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modification, are permitted provided that the following conditions are met:
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list of conditions and the following disclaimer.
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SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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------------------
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Code in python/ray/_private/prometheus_exporter.py is adapted from https://github.com/census-instrumentation/opencensus-python/blob/master/contrib/opencensus-ext-prometheus/opencensus/ext/prometheus/stats_exporter/__init__.py
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# Copyright 2018, OpenCensus Authors
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#
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# limitations under the License.
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--------------------------------------------------------------------------------
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Code in python/ray/tests/modin/test_modin and
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python/ray/tests/modin/modin_test_utils adapted from:
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- http://github.com/modin-project/modin/master/modin/pandas/test/test_general.py
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- http://github.com/modin-project/modin/master/modin/pandas/test/utils.py
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Copyright (c) 2018-2020 Modin Developers.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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https://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License.
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--------------------------------------------------------------------------------
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Code in src/ray/util/logging.h is adapted from
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https://github.com/google/glog/blob/master/src/glog/logging.h.in
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Copyright (c) 2008, Google Inc.
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All rights reserved.
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‎README.md

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As usual, the `step` method returns a tuple, except that here both the observation, reward, dones and infos are concatenated
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In this specific example, we have 2 environments per worker.
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Index 0 and 1 are environments from worker 1; index 1 and 2 are environments from worker 2, etc.
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Index 0 and 1 are environments from worker 1; index 1 and 2 are environments from worker 2, etc.
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# License
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Apache License 2.0

‎example.py

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import gym
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from RayEnvWrapper import WrapperRayVecEnv
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def make_and_seed(seed: int) -> gym.Env:
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env = gym.make('CartPole-v0')
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env = gym.wrappers.RecordEpisodeStatistics(env)
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env.seed(seed)
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return env
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if __name__ == '__main__':
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number_of_workers = 4 # Usually, this is set to the number of CPUs in your machine
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envs_per_worker = 2
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vec_env = WrapperRayVecEnv(make_and_seed, number_of_workers, envs_per_worker)
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# RESET all environment
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vec_env.reset()
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print(vec_env.step([vec_env.action_space.sample() for _ in range(number_of_workers * envs_per_worker)]))

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