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supplement missed optimizer argument clip_rewards in default DQN configuration (#1853)

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Jones Wong authored and Eric Liang committed 2018-04-08 17:58:05 -07:00
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commit 6b85d15bd9
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python/ray/rllib/dqn/dqn.py
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@@ -18,7 +18,7 @@ from ray.tune.result import TrainingResult
OPTIMIZER_SHARED_CONFIGS = [
"buffer_size", "prioritized_replay", "prioritized_replay_alpha",
"prioritized_replay_beta", "prioritized_replay_eps", "sample_batch_size",
"train_batch_size", "learning_starts"]
"train_batch_size", "learning_starts", "clip_rewards"]
DEFAULT_CONFIG = dict(
# === Model ===