Alphabeta Math

Policy gradients, REINFORCE, and actor–critic

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1 · Prerequisites
Abstract Algebra
Combinatorics
Computability Theory
Functional Analysis
Linear Algebra
Machine Learning Algorithms
Measure Theory
Probability
Real Analysis
Set Theory
Topology
2 · Logical flowchart

3 · Items

Definition

Differentiable stationary stochastic policies and score vectors

Lemma

A policy score has zero conditional mean before the action

Theorem

Discounted episodic policy gradients from trajectory likelihoods

Algorithm

One-step episodic actor–critic with a bootstrapped critic

Algorithm

Episodic REINFORCE with a frozen episode policy

Lemma

A state-dependent action-independent baseline preserves the gradient mean

Algorithm

Episodic REINFORCE with a fixed state baseline

Sources