3 datasets found

Learning Adversarial Low-rank Markov Decision Processes with Unknown Transition and Full-information Feedback

State-wise Constrained Policy Optimization (SCPO) is a general-purpose policy search algorithm for state-wise constrained reinforcement learning.

Policy optimization for stochastic shortest path (SSP) problem, a goal-oriented reinforcement learning model that strictly generalizes the finite-horizon model and better...