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DHDev0
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Stochastic-muzero
Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
GNU General Public License v3.0
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Dependency Bug
#12
simwai
opened
10 months ago
0
removed deprecated render_fps, set default render_mode to "human"
#11
Karlheinzniebuhr
closed
1 year ago
2
Problem adapting Stoch-muzero to custom gymnasium environment
#10
Karlheinzniebuhr
closed
1 year ago
1
reproducing the result on 2048
#9
LinXueyuanStdio
closed
1 year ago
3
Does the code only work on CartPole?
#7
echo1047
closed
1 year ago
2
What about merging with SpeedyZero code base?
#6
GrigoryEvko
closed
1 year ago
4
Stochastic MuZero for Simultaneous-Move Games
#5
Zachary-Fernandes
closed
1 year ago
2
Questions about is_chance label assignment
#4
timothijoe
closed
1 year ago
10
Default experiments are not converging
#3
ipsec
closed
1 year ago
7
training loss: nan
#2
ipsec
closed
1 year ago
6
loss is nan from the beginning by default config
#1
Junfeng-Huang
closed
1 year ago
2