1566 - fixed the test_training_config.py test file by removing num_steps from init
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@@ -300,7 +300,7 @@ def convert_legacy_training_config_dict(
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agent_framework: AgentFramework = AgentFramework.SB3,
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agent_framework: AgentFramework = AgentFramework.SB3,
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agent_identifier: AgentIdentifier = AgentIdentifier.PPO,
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agent_identifier: AgentIdentifier = AgentIdentifier.PPO,
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action_type: ActionType = ActionType.ANY,
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action_type: ActionType = ActionType.ANY,
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num_steps: int = 256,
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num_train_steps: int = 256,
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) -> Dict[str, Any]:
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) -> Dict[str, Any]:
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"""
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"""
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Convert a legacy training config dict to the new format.
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Convert a legacy training config dict to the new format.
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@@ -312,15 +312,15 @@ def convert_legacy_training_config_dict(
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training configs don't have agent_identifier values.
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training configs don't have agent_identifier values.
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:param action_type: The action space type to set as legacy training configs
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:param action_type: The action space type to set as legacy training configs
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don't have action_type values.
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don't have action_type values.
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:param num_steps: The number of steps to set as legacy training configs
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:param num_train_steps: The number of steps to set as legacy training configs
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don't have num_steps values.
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don't have num_train_steps values.
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:return: The converted training config dict.
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:return: The converted training config dict.
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"""
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"""
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config_dict = {
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config_dict = {
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"agent_framework": agent_framework.name,
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"agent_framework": agent_framework.name,
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"agent_identifier": agent_identifier.name,
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"agent_identifier": agent_identifier.name,
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"action_type": action_type.name,
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"action_type": action_type.name,
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"num_steps": num_steps,
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"num_train_steps": num_train_steps,
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"sb3_output_verbose_level": SB3OutputVerboseLevel.INFO.name,
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"sb3_output_verbose_level": SB3OutputVerboseLevel.INFO.name,
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}
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}
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session_type_map = {"TRAINING": "TRAIN", "EVALUATION": "EVAL"}
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session_type_map = {"TRAINING": "TRAIN", "EVALUATION": "EVAL"}
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@@ -26,11 +26,6 @@ num_train_episodes: 10
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# Number of time_steps for training per episode
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# Number of time_steps for training per episode
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num_train_steps: 256
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num_train_steps: 256
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# Number of episodes for evaluation to run per session
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num_eval_episodes: 10
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# Number of time_steps for evaluation per episode
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num_eval_steps: 256
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# Time delay between steps (for generic agents)
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# Time delay between steps (for generic agents)
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time_delay: 10
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time_delay: 10
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# Type of session to be run (TRAINING or EVALUATION)
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# Type of session to be run (TRAINING or EVALUATION)
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