BY571/FQF-and-Extensions
PyTorch implementation of the state-of-the-art distributional reinforcement learning algorithm Fully Parameterized Quantile Function (FQF) and Extensions: N-step Bootstrapping, PER, Noisy Layer, Dueling Networks, and parallelization.
Jupyter NotebookMIT
Stargazers
- ali2006ali
- Angmar01
- BGasperov@LAFRA-FER
- Eereenah
- Equim-chanGF(2)
- flmdaybreakblue
- GangSuUGAUniversity of Georgia
- haiyanyinNanyang Technological University
- Hillbort
- Jasonxu1225The Chinese University of Hong Kong, Shenzhen
- jcformanekUniversity of Cape Town
- krassav4eg
- LLT1Institute of Automation,Chinese Academy of Sciences
- LongStoriesShort
- lyt0511
- mrojala
- Naruto-Y
- pavelxx1Kiev
- qbx2@MatchGroup
- rongzhou
- SamCurtis111
- seekku
- sunjesseBetterUp
- Triang-jyed-driungL'Université Tsinghua
- yinziyang123
- YoZo-XUniversity of Electronic Science and Technology of China
- zhuuuuu0321
- ZiyiLiubirdNanKai Universiy
- ZJ96