QPLEX Decision Processes embed QPLEX transient approximations into a nonlinear MDP framework and optimize policies via deterministic gradients and natural-gradient methods, demonstrated on a dynamic pricing problem with waiting costs or chance constraints.
Variance reduction techniques for gradient estimates in reinforcement learning
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QPLEX Decision Processes: Formulation via Nonlinear Markov Chains and Optimization via Policy Gradients
QPLEX Decision Processes embed QPLEX transient approximations into a nonlinear MDP framework and optimize policies via deterministic gradients and natural-gradient methods, demonstrated on a dynamic pricing problem with waiting costs or chance constraints.