Variance Reduction Archives

What role do the actor and critic play in actor-critic methods, and how do their update rules help in reducing the variance of policy gradient estimates?

Tuesday, 11 June 2024 by EITCA Academy

In the domain of advanced reinforcement learning, particularly within the context of deep reinforcement learning, actor-critic methods represent a significant class of algorithms designed to address some of the challenges associated with policy gradient techniques. To fully grasp the role of the actor and critic in these methods, it is essential to consider the theoretical

Published in Artificial Intelligence, EITC/AI/ARL Advanced Reinforcement Learning, Deep reinforcement learning, Policy gradients and actor critics, Examination review

Tagged under: Actor-Critic, Artificial Intelligence, Deep Learning, Policy Gradient, Reinforcement Learning, Temporal Difference Learning, Variance Reduction

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What role do the actor and critic play in actor-critic methods, and how do their update rules help in reducing the variance of policy gradient estimates?

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What role do the actor and critic play in actor-critic methods, and how do their update rules help in reducing the variance of policy gradient estimates?

Eligibility for EITCA Academy 80% EITCI DSJC Subsidy support