beef up DQN model, fix training issues
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@ -1672,7 +1672,7 @@ class TradingOrchestrator:
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processing_time_ms=0.0, # We don't track this in orchestrator
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memory_usage_mb=0.0, # We don't track this in orchestrator
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input_features=input_features_array,
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checkpoint_id=None,
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checkpoint_id=None,f
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metadata=inference_record.get('metadata', {})
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)
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