When Actions Break Apart Reinforcement Learning

Reinforcement learning has shifted from quirky lab curiosities to tools that steer robots, optimize energy grids, and even suggest treatment strategies in hospitals. Yet the leap from a neat equation to a working system in the wild often stumbles on a stubborn obstacle: the space of possible actions can blow up into a combinatorial explosion….

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