Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
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How to deal with expotential action space?
Hello, I'm a new in "large action space". And I'm trying to do some work about large discrete action space. So will it work or could it be applied for 2^100 actions, such as 100 switches that can be open or close? And what were f and g in authors' paper? How to choose or train a f and g for specific problem? @M00NSH0T@jimkon