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Rohan Chitnis
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back to python
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‎analysis/run_supercloud_experiments.sh‎

Lines changed: 10 additions & 10 deletions
Original file line numberDiff line numberDiff line change
@@ -22,21 +22,21 @@ ALL_ENVS=(
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for SEED in $(seq $START_SEED $((NUM_SEEDS+START_SEED-1))); do
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for ENV in ${ALL_ENVS[@]}; do
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echo "$FILE --experiment_id ${ENV}_random --env $ENV --approach random_options --seed $SEED"
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python $FILE --experiment_id ${ENV}_random --env $ENV --approach random_options --seed $SEED
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for NUM_TRAIN_TASKS in ${ALL_NUM_TRAIN_TASKS[@]}; do
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echo "$FILE --experiment_id ${ENV}_main_${NUM_TRAIN_TASKS}demo --env $ENV --approach grammar_search_invention --excluded_predicates all --seed $SEED --num_train_tasks $NUM_TRAIN_TASKS"
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echo "$FILE --experiment_id ${ENV}_downref_${NUM_TRAIN_TASKS}demo --env $ENV --approach grammar_search_invention --sesame_max_skeletons_optimized 1 --offline_data_max_skeletons_optimized 8 --excluded_predicates all --seed $SEED --num_train_tasks $NUM_TRAIN_TASKS"
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echo "$FILE --experiment_id ${ENV}_prederror_${NUM_TRAIN_TASKS}demo --env $ENV --approach grammar_search_invention --grammar_search_score_function prediction_error --excluded_predicates all --seed $SEED --num_train_tasks $NUM_TRAIN_TASKS"
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echo "$FILE --experiment_id ${ENV}_branchfac_${NUM_TRAIN_TASKS}demo --env $ENV --approach grammar_search_invention --grammar_search_score_function branching_factor --excluded_predicates all --seed $SEED --num_train_tasks $NUM_TRAIN_TASKS"
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echo "$FILE --experiment_id ${ENV}_energy_${NUM_TRAIN_TASKS}demo --env $ENV --approach grammar_search_invention --grammar_search_score_function lmcut_energy_lookaheaddepth0 --excluded_predicates all --seed $SEED --num_train_tasks $NUM_TRAIN_TASKS"
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echo "$FILE --experiment_id ${ENV}_noinventallexclude_${NUM_TRAIN_TASKS}demo --env $ENV --approach nsrt_learning --excluded_predicates all --seed $SEED --num_train_tasks $NUM_TRAIN_TASKS"
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echo "$FILE --experiment_id ${ENV}_noinventnoexclude_${NUM_TRAIN_TASKS}demo --env $ENV --approach nsrt_learning --seed $SEED --num_train_tasks $NUM_TRAIN_TASKS"
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python $FILE --experiment_id ${ENV}_main_${NUM_TRAIN_TASKS}demo --env $ENV --approach grammar_search_invention --excluded_predicates all --seed $SEED --num_train_tasks $NUM_TRAIN_TASKS
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python $FILE --experiment_id ${ENV}_downref_${NUM_TRAIN_TASKS}demo --env $ENV --approach grammar_search_invention --sesame_max_skeletons_optimized 1 --offline_data_max_skeletons_optimized 8 --excluded_predicates all --seed $SEED --num_train_tasks $NUM_TRAIN_TASKS
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python $FILE --experiment_id ${ENV}_prederror_${NUM_TRAIN_TASKS}demo --env $ENV --approach grammar_search_invention --grammar_search_score_function prediction_error --excluded_predicates all --seed $SEED --num_train_tasks $NUM_TRAIN_TASKS
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python $FILE --experiment_id ${ENV}_branchfac_${NUM_TRAIN_TASKS}demo --env $ENV --approach grammar_search_invention --grammar_search_score_function branching_factor --excluded_predicates all --seed $SEED --num_train_tasks $NUM_TRAIN_TASKS
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python $FILE --experiment_id ${ENV}_energy_${NUM_TRAIN_TASKS}demo --env $ENV --approach grammar_search_invention --grammar_search_score_function lmcut_energy_lookaheaddepth0 --excluded_predicates all --seed $SEED --num_train_tasks $NUM_TRAIN_TASKS
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python $FILE --experiment_id ${ENV}_noinventallexclude_${NUM_TRAIN_TASKS}demo --env $ENV --approach nsrt_learning --excluded_predicates all --seed $SEED --num_train_tasks $NUM_TRAIN_TASKS
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python $FILE --experiment_id ${ENV}_noinventnoexclude_${NUM_TRAIN_TASKS}demo --env $ENV --approach nsrt_learning --seed $SEED --num_train_tasks $NUM_TRAIN_TASKS
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# Blocks-specific experiments.
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if [ $ENV = "blocks" ]; then
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echo "$FILE --experiment_id ${ENV}_mainhadd_${NUM_TRAIN_TASKS}demo --env $ENV --approach grammar_search_invention --sesame_task_planning_heuristic hadd --offline_data_task_planning_heuristic lmcut --excluded_predicates all --seed $SEED --num_train_tasks $NUM_TRAIN_TASKS"
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echo "$FILE --experiment_id ${ENV}_noinventnoexcludehadd_${NUM_TRAIN_TASKS}demo --env $ENV --approach nsrt_learning --sesame_task_planning_heuristic hadd --offline_data_task_planning_heuristic lmcut --seed $SEED --num_train_tasks $NUM_TRAIN_TASKS"
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python $FILE --experiment_id ${ENV}_mainhadd_${NUM_TRAIN_TASKS}demo --env $ENV --approach grammar_search_invention --sesame_task_planning_heuristic hadd --offline_data_task_planning_heuristic lmcut --excluded_predicates all --seed $SEED --num_train_tasks $NUM_TRAIN_TASKS
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python $FILE --experiment_id ${ENV}_noinventnoexcludehadd_${NUM_TRAIN_TASKS}demo --env $ENV --approach nsrt_learning --sesame_task_planning_heuristic hadd --offline_data_task_planning_heuristic lmcut --seed $SEED --num_train_tasks $NUM_TRAIN_TASKS
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fi
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done
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done

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