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Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces
PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, Hado van Hasselt, Peter Sunehag, Timothy Lillicrap, Jonathan Hunt, Timothy Mann, Theophane Weber, Thomas Degris, Ben Coppin).
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Found relevant code at https://github.com/nikhil3456/Deep-Reinforcement-Learning-in-Large-Discrete-Action-Spaces + all code implementations here
Exactly, multiple action heads. There are some works that try this for DQN as https://arxiv.org/abs/1711.08946. However, i have not tried since I tend to prefer actor-critic methods.
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