Stas Tiomkin
Stas Tiomkin
Texas Tech University, Computer Science
Email: stas.tiomkin@ttu.edu
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Specialization: Dr. Tiomkin specializes in intrinsic motivation, information bottleneck, manifold learning, robotics, and representation learning.
Projects: Autonomous Weapon Systems
Selected Publications
‘Goals and the Structure of Experience’ in ‘Philosophical Transactions of the Royal Society A, (2025)’ with Nadav Amir and Angela Langdon.
‘Process Empowerment for Robust Intrinsic Motivation’ in ‘Journal of Physics: Complexity (2025)’ with Christoph Salge and Daniel Polani.
‘Bootstrapped Reward Shaping’ in ‘Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-25)’ with Jacob Adamczyk, Volodymyr Makarenko, Rahul Kulkarni.
‘SuPLE: Robot Learning with Lyapunov Rewards’ in ‘International Conference on Robotics and Automation (ICRA)’ with Phu Nguyen, Daniel Polani.
‘Bounding the Optimal Value Function in Compositional Reinforcement Learning’ in ‘Uncertainty in Artificial Intelligence’ with Jacob Adamczyk, Volodymyr Makarenko, Argenis Arriojas, Rahul V. Kulkarni.
‘Entropy Regularized Reinforcement Learning using Large Deviation Theory’ in ‘Physical Review Research, American Physical Society’ with Argenis Arriojas, Jacob Adamczyk, Rahul V. Kulkarni. Q1 journal.