Bounding the optimal value function in compositional reinforcement learning. - Jacob Adamczyk; Volodymyr Makarenko; Argenis Arriojas; Stas Tiomkin; Rahul V. Kulkarni (UAI, 2023)

Controllability-Constrained Deep Network Models for Enhanced Control of Dynamical Systems. - Suruchi Sharma; Volodymyr Makarenko; Gautam Kumar; Stas Tiomkin (ACC, 2024)

Boosting Soft Q-Learning by Bounding. - Jacob Adamczyk; Volodymyr Makarenko; Stas Tiomkin; Rahul V. Kulkarni (RLJ, 2024)

Bootstrapped Reward Shaping. - Jacob Adamczyk; Volodymyr Makarenko; Stas Tiomkin; Rahul V. Kulkarni (AAAI, 2025)

Average-Reward Reinforcement Learning with Entropy Regularization. - Jacob Adamczyk; Volodymyr Makarenko; Stas Tiomkin; Rahul V. Kulkarni (CoRR, 2025)

EVAL: EigenVector-based Average-reward Learning. - Jacob Adamczyk; Volodymyr Makarenko; Stas Tiomkin; Rahul V. Kulkarni (CoRR, 2025)