Optimality and Approximation with Policy Gradient Methods in Markov Decision Processes

Mathematics

• Optimality 100%
• Markov Decision Process 100%
• Optimal Policy 100%
• Global Optimum 50%
• Worst Case 50%
• State Distribution 50%
• Initial State 50%
• Function Value 50%
• Convergence Rate 50%
• Approximation Function 50%
• Polynomial 25%
• Asymptotics 25%
• Main Result 25%
• Approximates 25%
• Convergence Property 25%
• Parametric 25%
• Action Space 25%
• Approximation Error 25%

Keyphrases

• Polynomial Convergence Rate 25%
• Inexact Gradient 25%
• Compatibility Function 25%