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Policy Gradient Methods for Reinforcement Learning with Function Approximation and Action-Dependent Baselines

Artificial Intelligence 2017-06-22 v1 Machine Learning

Abstract

We show how an action-dependent baseline can be used by the policy gradient theorem using function approximation, originally presented with action-independent baselines by (Sutton et al. 2000).

Cite

@article{arxiv.1706.06643,
  title  = {Policy Gradient Methods for Reinforcement Learning with Function Approximation and Action-Dependent Baselines},
  author = {Philip S. Thomas and Emma Brunskill},
  journal= {arXiv preprint arXiv:1706.06643},
  year   = {2017}
}
R2 v1 2026-06-22T20:24:31.052Z