3 papers
math.DS2025
Some remarks on stochastic converse Lyapunov theorems
Pavel Osinenko, Grigory Yaremenko
In this brief note, we investigate some constructions of Lyapunov functions for stochastic discrete-time stabilizable dynamical systems, in other words, controlled Markov chains. T…
cs.LG2025
A universal policy wrapper with guarantees
Anton Bolychev, Georgiy Malaniya, Grigory Yaremenko +2
We introduce a universal policy wrapper for reinforcement learning agents that ensures formal goal-reaching guarantees. In contrast to standard reinforcement learning algorithms th…
cs.LG2025
Multi-CALF: A Policy Combination Approach with Statistical Guarantees
Georgiy Malaniya, Anton Bolychev, Grigory Yaremenko +2
We introduce Multi-CALF, an algorithm that intelligently combines reinforcement learning policies based on their relative value improvements. Our approach integrates a standard RL…