In our work, we present accelerated methods for the Bellman consistency and optimality operators, demonstrating improved convergence rates that have significant implications for computational efficiency.
Through the analysis of the Anchored Value Iteration framework, we establish new complexity lower bounds, which reveal deeper insights into the limitations and strengths of current value iteration techniques.
#anchored-value-iteration #bellman-operators #computational-efficiency #reinforcement-learning #convergence-rates
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