liuanji / wu-uct Goto Github PK
View Code? Open in Web Editor NEWA novel parallel UCT algorithm with linear speedup and negligible performance loss.
License: MIT License
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dongleecsu frankfan007 jcfrw md-hexdrive xtagon wang-zheng-jiu show0925 jun-li-2020 momofive qilongpan yata0 ayushraina10 tandychao xmgfx l123abc catherinemeng samecos marcel-n horanny pwang649 yuan6785wu-uct's Issues
Does WU-UCT support multiplayer game?
The code can not work when there are two or more WU-UCT players in one game ใ
EnvWrapper.py is missing
Could you share the EnvWrapper file with us?
./Env/EnvWrapper.py
the max speedup
I wonder the max speedup of this algorithm, thx.
how to parallel simulation on muiti-gpus
What is the difference between WU-UCT and virtual loss?
I'm interested your paper. However, I feel your key idea is same as the virtual loss for MCTS parallelization? what's the difference between them? Hope for your answer.
Best wishes
why force env continue even though it returns done?
in tree/UCT.py 185 line, force done to False
how to understand the function select_expand_action() in UCTnode.py ?
in my opinion, the way choosing an action to expand is purely based on the prior probability or just random choice.
So why there is a while loop? I don't quite understand the "if" condintions in the loop, especially this one:
if self.children_visit_count[action] > 0 and count < 10: count += 1 continue
The program cannot exit normally.
When I run the following commands
"python3 main.py --model WU-UCT --env-name PongNoFrameskip-v0 --MCTS-max-steps 10 --max-episode-length 3 --simulation-worker-num 2 --expansion-worker-num 2", the main process will be blocked at MCTStree.close() method. The workers cannot be terminated normally.
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