Glossary

Dynamic Actor-Critic (DAC)

A deep reinforcement learning framework combining an actor network for policy learning and a critic network for value function estimation across parallel agents.

Source: Reinforcement Learning-Driven Optimal Capital Allocation for Intelligent Finance (Academic research) · p.8

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