Unverified50% confidenceFactExact time
Reinforcement learning trains an agent to learn an optimal policy through repeated interaction with an environment guided by reward signals; Deep RL uses deep neural networks as policy approximators, enabling it to handle high-dimensional continuous state-action spaces and make control decisions on a microsecond timescale.
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9/10/2026
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