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RUNNING BASELINE AGENT BENCHMARK
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Task: task_easy_image_classification
  Step 1: action=read_paper | reward=0.010 | score=0.000
  Step 2: action=propose_hypothesis | reward=0.250 | score=0.061
  Step 3: action=design_experiment | reward=0.030 | score=0.061
  Step 4: action=run_experiment | reward=0.022 | score=0.134
  Step 5: action=design_experiment | reward=0.030 | score=0.134
  Step 6: action=run_experiment | reward=0.184 | score=0.282
  Step 7: action=design_experiment | reward=0.030 | score=0.282
  Step 8: action=run_experiment | reward=-0.010 | score=0.262
  Step 9: action=design_experiment | reward=0.030 | score=0.262
  Step 10: action=run_experiment | reward=-0.050 | score=0.254
  Step 11: action=analyze_results | reward=0.100 | score=0.266
  Step 12: action=final_answer | reward=0.321 | score=0.443
Task: task_easy_image_classification -> Score: 0.4428

Task: task_medium_nlp_sentiment
  Step 1: action=read_paper | reward=0.010 | score=0.000
  Step 2: action=propose_hypothesis | reward=0.250 | score=0.018
  Step 3: action=design_experiment | reward=0.030 | score=0.018
  Step 4: action=run_experiment | reward=0.027 | score=0.113
  Step 5: action=design_experiment | reward=0.030 | score=0.113
  Step 6: action=run_experiment | reward=0.060 | score=0.242
  Step 7: action=design_experiment | reward=0.030 | score=0.242
  Step 8: action=run_experiment | reward=-0.050 | score=0.198
  Step 9: action=design_experiment | reward=0.030 | score=0.198
  Step 10: action=run_experiment | reward=-0.010 | score=0.209
  Step 11: action=analyze_results | reward=0.100 | score=0.221
  Step 12: action=final_answer | reward=0.291 | score=0.383
Task: task_medium_nlp_sentiment -> Score: 0.3829

Task: task_hard_tabular_prediction
  Step 1: action=read_paper | reward=0.010 | score=0.000
  Step 2: action=propose_hypothesis | reward=0.240 | score=0.029
  Step 3: action=design_experiment | reward=0.030 | score=0.029
  Step 4: action=run_experiment | reward=0.158 | score=0.191
  Step 5: action=design_experiment | reward=0.030 | score=0.191
  Step 6: action=run_experiment | reward=0.268 | score=0.293
  Step 7: action=design_experiment | reward=0.030 | score=0.293
  Step 8: action=run_experiment | reward=-0.010 | score=0.273
  Step 9: action=design_experiment | reward=0.030 | score=0.273
  Step 10: action=run_experiment | reward=-0.010 | score=0.278
  Step 11: action=analyze_results | reward=0.100 | score=0.290
  Step 12: action=final_answer | reward=0.345 | score=0.491
Task: task_hard_tabular_prediction -> Score: 0.4906

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RUNNING RANDOM AGENT BENCHMARK
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Task: task_easy_image_classification -> Score: 0.0000
Task: task_medium_nlp_sentiment -> Score: 0.0000
Task: task_hard_tabular_prediction -> Score: 0.0325

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FINAL SUMMARY
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Baseline Average: 0.4388
Random Average:   0.0108
Performance Gap:  +0.4279
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