no code implementations • NeurIPS 2008 • Dotan D. Castro, Dmitry Volkinshtein, Ron Meir
Actor-critic algorithms for reinforcement learning are achieving renewed popularity due to their good convergence properties in situations where other approaches often fail (e. g., when function approximation is involved).