microsoft / microsoft/GUI-Agent-RL
Which reward model you use in PPO training？
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- Dominant language
- Python
- Stars
- 44
- Forks
- 4
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Description
Good work. I am very confused about your PPO training, and I want to know which reward model you use? Because you don't mention it in your paper. And do you change the llama-factory to frozen critic(value) update to ensure only update actor policy?
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Research direction
Read the paper and locate the PPO training entry point and Llama-Factory configuration. Determine which reward model is used and whether critic/value updates are frozen so only the actor policy changes. Done means documenting clear answers to both questions and identifying the relevant training configuration.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100