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experiments/dqn_space_invaders_r_noise_various_lrs.py

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@@ -49,7 +49,7 @@
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'final_prioritized_replay_beta': 1.0,
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'hiddens': [512],
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'learning_starts': 20000,
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'lr': 6.25e-05,
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# 'lr': 6.25e-05,
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'n_step': 1,
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'noisy': False,
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'num_atoms': 1,

mdp_playground/config_processor/config_processor.py

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@@ -135,7 +135,7 @@ def setup_ray(config, config_num, log_level, framework_dir):
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ray.init(object_store_memory=int(2e9), redis_max_memory=int(1e9),
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temp_dir=tmp_dir,
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logging_level=log_level,
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local_mode=True,
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# local_mode=True,
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# webui_host='0.0.0.0'); logging_level=logging.INFO,
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)
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# ray.init(object_store_memory=int(2e9), redis_max_memory=int(1e9), local_mode=True, plasma_directory='/tmp') #, memory=int(8e9), local_mode=True # local_mode (bool): If true, the code will be executed serially. This is useful for debugging. # when true on_train_result and on_episode_end operate in the same current directory as the script. A3C is crashing in local mode, so didn't use it and had to work around by giving full path + filename in stats_file_name.; also has argument driver_object_store_memory=, plasma_directory='/tmp'

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