Row 15266

Row ID: 15266 | Dataset Entry | Axioma AXP Content Repository

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Noob question here: Trying to use reinforcement learning on a custom environment using the PPO model from the stable_baselines3 module in Python. I am essentially only rewarding the agent at the end of an episode, and I think this is why the model never learns anything/always opts for doing nothing. Am I on the right track or is my issue elsewhere? Thanks in advance!

FieldValue
text Noob question here: Trying to use reinforcement learning on a custom environment using the PPO model from the stable_baselines3 module in Python. I am essentially only rewarding the agent at the end of an episode, and I think this is why the model never learns anything/always opts for doing nothing. Am I on the right track or is my issue elsewhere? Thanks in advance!
label r/machinelearning
dataType comment
communityName r/MachineLearning
datetime 2024-05-20
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Raw Record

{
  "text": "Noob question here: Trying to use reinforcement learning on a custom environment using the PPO model from the stable_baselines3 module in Python. I am essentially only rewarding the agent at the end of an episode, and I think this is why the model never learns anything/always opts for doing nothing. Am I on the right track or is my issue elsewhere? Thanks in advance!",
  "label": "r/machinelearning",
  "dataType": "comment",
  "communityName": "r/MachineLearning",
  "datetime": "2024-05-20",
  "username_encoded": "Z0FBQUFBQm5Lakw4TlcxWUsyUTJZUjlhaW14eVlaTWs2NTdnLWh0Sm9iUC1Lb1J3VUpDY05ORXhKTmdyRGU1RDlzcVZuWnpJbDdHc1RNRjdRaEVadzMwY2Nzem9RQnlkd1E9PQ==",
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}
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