Variational policy gradient method for reinforcement learning with general utilities

Mathematics

• Utility Function 100%
• Saddle Point 50%
• Stochastics 50%
• Monte Carlo 50%
• Generality 50%
• Bellman Equation 50%
• Convergence Rate 50%
• Sample Path 50%
• Optimal Policy 50%
• Cumulative Sum 50%

Keyphrases

• Policy Gradient Theorem 66%
• Problem Exploration 33%
• Monte Carlo Gradient Estimation 33%
• Stochastic Saddle Point Problems 33%