Volodymyr Makarenko

According to our database, Volodymyr Makarenko authored at least 6 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

EVAL: EigenVector-based Average-reward Learning.

Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni

CoRR, January, 2025

Average-Reward Reinforcement Learning with Entropy Regularization.

Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni

CoRR, January, 2025

Bootstrapped Reward Shaping.

Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Boosting Soft Q-Learning by Bounding.

Jacob Adamczyk, Volodymyr Makarenko, Stas Tiomkin, Rahul V. Kulkarni

RLJ, 2024

Controllability-Constrained Deep Network Models for Enhanced Control of Dynamical Systems.

Suruchi Sharma, Volodymyr Makarenko, Gautam Kumar, Stas Tiomkin

Proceedings of the American Control Conference, 2024

2023

Bounding the optimal value function in compositional reinforcement learning.

Jacob Adamczyk, Volodymyr Makarenko, Argenis Arriojas, Stas Tiomkin, Rahul V. Kulkarni

Proceedings of the Uncertainty in Artificial Intelligence, 2023