This is the implementation of DGN on Pymarl, which could be trained by VDN or QMIX.
python3 src/main.py --config=vdn --env-config=sc2 with comm_flag=1.0
python3 src/main.py --config=qmix --env-config=sc2 with comm_flag=1.0
In the costumed starcraft.py, we decrease the sight range and communication range.
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1. SaWDE.m is the main function 2. DataPartition.m is used to randomly partition the original data into training sets and test sets with a ratio of 7
Reinforcement Learning for Finance We apply reinforcement learning for stock trading. Fetch Data Example import utils # fetch symbols from yahoo fina
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Personalized Transfer of User Preferences for Cross-domain Recommendation (PTUPCDR) This is the official implementation of our paper Personalized Tran
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