Reinforcement Learning with multiple simultaneous actions?

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Hi, I am currently working on a project related to using reinforcement learning. The agent has a large set of possible discrete actions. For example, given a graph with N nodes, the possible action can be choosing 1 of N node, then check the stopping criteria.


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