Hyperparameter optimisation over entire range or shorter range of training episodes in Deep Reinforcement Learning

I am optimising hyperparameters for my deep reinforcement learning project (using PPO2, DQN and A2C) and was wondering: Should I find the optimum hyperparameters to get maximum reward from training over my entire range of training (e.g. 50 million steps) or can I optimise over less time (e.g. 1 million steps)? What is the conventional…

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remove character on the last line that specific word appears

we have the following file example we want to remove the , character on the last line that topic word exists more file {“topic”:”life_is_hard”,”partition”:84,”replicas”:[1006,1003]}, {“topic”:”life_is_hard”,”partition”:85,”replicas”:[1001,1004]}, {“topic”:”life_is_hard”,”partition”:86,”replicas”:[1002,1005]}, {“topic”:”life_is_hard”,”partition”:87,”replicas”:[1003,1006]}, {“topic”:”life_is_hard”,”partition”:88,”replicas”:[1004,1001]}, {“topic”:”life_is_hard”,”partition”:89,”replicas”:[1005,1002]}, {“topic”:”life_is_hard”,”partition”:90,”replicas”:[1006,1004]}, {“topic”:”life_is_hard”,”partition”:91,”replicas”:[1001,1005]}, {“topic”:”life_is_hard”,”partition”:92,”replicas”:[1002,1006]}, {“topic”:”life_is_hard”,”partition”:93,”replicas”:[1003,1001]}, {“topic”:”life_is_hard”,”partition”:94,”replicas”:[1004,1002]}, {“topic”:”life_is_hard”,”partition”:95,”replicas”:[1005,1003]}, {“topic”:”life_is_hard”,”partition”:96,”replicas”:[1006,1005]}, {“topic”:”life_is_hard”,”partition”:97,”replicas”:[1001,1006]}, {“topic”:”life_is_hard”,”partition”:98,”replicas”:[1002,1001]}, {“topic”:”life_is_hard”,”partition”:99,”replicas”:[1003,1002]}, expected output {“topic”:”life_is_hard”,”partition”:84,”replicas”:[1006,1003]}, {“topic”:”life_is_hard”,”partition”:85,”replicas”:[1001,1004]}, {“topic”:”life_is_hard”,”partition”:86,”replicas”:[1002,1005]}, {“topic”:”life_is_hard”,”partition”:87,”replicas”:[1003,1006]}, {“topic”:”life_is_hard”,”partition”:88,”replicas”:[1004,1001]}, {“topic”:”life_is_hard”,”partition”:89,”replicas”:[1005,1002]}, {“topic”:”life_is_hard”,”partition”:90,”replicas”:[1006,1004]}, {“topic”:”life_is_hard”,”partition”:91,”replicas”:[1001,1005]}, {“topic”:”life_is_hard”,”partition”:92,”replicas”:[1002,1006]}, {“topic”:”life_is_hard”,”partition”:93,”replicas”:[1003,1001]}, {“topic”:”life_is_hard”,”partition”:94,”replicas”:[1004,1002]}, {“topic”:”life_is_hard”,”partition”:95,”replicas”:[1005,1003]}, {“topic”:”life_is_hard”,”partition”:96,”replicas”:[1006,1005]}, {“topic”:”life_is_hard”,”partition”:97,”replicas”:[1001,1006]},…

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Initialized int being casted to list by python despite explicitly casting int

my code why is the explicitly converted int being identified as a list. Problem also exist without the explicit casting. I am not sure what the issue is. def longestSubstringWithK(full_string, k): window = {} longest_substring = 0 smallest= int(0) for index, letter in enumerate(full_string): window[letter] = index if len(window) > k: smallest = min(window.values()) del(window[full_string[smallest]])…

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