Comments (3)
In my case the two sub policies learns to aim for different goal points, But the master policy leads the agent to a single goal.
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I reproduce the results too, but it takes many more samples to converge than reported in the paper. Has anyone else met this phenomenon before?
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@SiyuanLee I am also trying to reproduce the results given in the paper. I directly ran the command from the README for AntBandits. After over 1400 iterations it hasn't converged or seemed to improve at all. Did you observe any high sensitivity to random seeds / were you able to reproduce AntBandits?
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Related Issues (14)
- rl_algs HOT 14
- How to determine the number of sub-policies?
- Bug in the FourRooms env implementation
- Termination due to `Bus error (signal 7)` HOT 5
- Hi, how did you solve this error?
- readme for Windows
- --continue_iter is buggy HOT 6
- Wrong environment reset? HOT 1
- how to render Fourrooms-v0
- Details on running the code with multiple cores HOT 1
- Fourroom environment not working HOT 1
- Terminal states logic for sub-policies HOT 1
- Observation of MovementBandits env HOT 3
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