BY571/IQN-and-Extensions
PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and parallel env support.
Jupyter NotebookMIT
Stargazers
- Andrewzh112Tsinghua University
- bexilinStevens Institute of Technology
- biozl
- Cc618@datadog
- cuijiaxunThe University of Texas at Austin
- Davidpazn
- doandongnguyenHUST
- eereenah-fast
- flmdaybreakblue
- GangSuUGAUniversity of Georgia
- hmishfaqMcGill University, MILA
- huaisifan
- jcformanekUniversity of Cape Town
- JosephDqsVersailles
- JunyoungparkKAIST IsysE
- justegeBerlin, Germany
- makdoudNPalaiseau, France
- markub3327University of Ss. Cyril and Methodius in Trnava
- Matsukoh
- Max-Clark
- melkael
- mingzhangPHDAston University
- NotNANtoNAdalab
- Ramblinrose-ship-it
- ramishni
- SamCurtis111
- SHITIANYU-hueUniversity of Toronto
- siddarthsingh1
- signinme
- sjYoondeltarSeoul
- Skp80India
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- THSWind
- wongsingfo
- zhxiemlSJTU