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[RLlib] 2 RLlib Flaky Tests (#14930)
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2 changed files with 5 additions and 5 deletions
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@ -88,7 +88,7 @@ def learn_test_plus_rollout(algo, env="CartPole-v0"):
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rllib_dir, tmp_dir, algo) +
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rllib_dir, tmp_dir, algo) +
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"--config=\"{\\\"num_gpus\\\": 0, \\\"num_workers\\\": 1, "
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"--config=\"{\\\"num_gpus\\\": 0, \\\"num_workers\\\": 1, "
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"\\\"evaluation_config\\\": {\\\"explore\\\": false}" + fw_ +
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"\\\"evaluation_config\\\": {\\\"explore\\\": false}" + fw_ +
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"}\" " + "--stop=\"{\\\"episode_reward_mean\\\": 190.0}\"" +
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"}\" " + "--stop=\"{\\\"episode_reward_mean\\\": 150.0}\"" +
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" --env={}".format(env))
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" --env={}".format(env))
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# Find last checkpoint and use that for the rollout.
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# Find last checkpoint and use that for the rollout.
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@ -127,7 +127,7 @@ def learn_test_plus_rollout(algo, env="CartPole-v0"):
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num_episodes += 1
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num_episodes += 1
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mean_reward /= num_episodes
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mean_reward /= num_episodes
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print("Rollout's mean episode reward={}".format(mean_reward))
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print("Rollout's mean episode reward={}".format(mean_reward))
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assert mean_reward >= 190.0
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assert mean_reward >= 150.0
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# Cleanup.
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# Cleanup.
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os.popen("rm -rf \"{}\"".format(tmp_dir)).read()
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os.popen("rm -rf \"{}\"".format(tmp_dir)).read()
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@ -170,7 +170,7 @@ def learn_test_multi_agent_plus_rollout(algo):
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"policy_mapping_fn": policy_fn,
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"policy_mapping_fn": policy_fn,
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},
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},
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}
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}
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stop = {"episode_reward_mean": 180.0}
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stop = {"episode_reward_mean": 150.0}
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tune.run(
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tune.run(
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algo,
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algo,
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config=config,
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config=config,
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@ -220,7 +220,7 @@ def learn_test_multi_agent_plus_rollout(algo):
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num_episodes += 1
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num_episodes += 1
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mean_reward /= num_episodes
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mean_reward /= num_episodes
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print("Rollout's mean episode reward={}".format(mean_reward))
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print("Rollout's mean episode reward={}".format(mean_reward))
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assert mean_reward >= 190.0
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assert mean_reward >= 150.0
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# Cleanup.
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# Cleanup.
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os.popen("rm -rf \"{}\"".format(tmp_dir)).read()
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os.popen("rm -rf \"{}\"".format(tmp_dir)).read()
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@ -3,7 +3,7 @@ cartpole-es:
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run: ES
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run: ES
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stop:
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stop:
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episode_reward_mean: 100
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episode_reward_mean: 100
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timesteps_total: 1000000
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timesteps_total: 500000
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config:
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config:
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# Works for both torch and tf.
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# Works for both torch and tf.
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framework: tf
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framework: tf
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