Publications

Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with $q^\pi$ Realizability and Concentrability
Volodymyr Tkachuk, Gellért Weisz, Csaba Szepesvári (NeurIPS 2024)
Paper | Talk
Regret Minimization via Saddle Point Optimization
Johannes Kirschner, Alireza Bakhtiari, Kushagra Chandak, Volodymyr Tkachuk, Csaba Szepesvári (NeurIPS 2023)
Paper
On Efficient Planning in Large Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning
Volodymyr Tkachuk (MSc Thesis 2023)
Paper
Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning
Volodymyr Tkachuk, Seyed Alireza Bakhtiari, Johannes Kirschner, Matej Jusup, Ilija Bogunovic, Csaba Szepesvári (AISTATS 2023)
Paper
Investigating action encodings in recurrent neural networks in reinforcement learning
Matthew Kyle Schlegel, Volodymyr Tkachuk, Adam M. White, Martha White (TMLR 2023)
Paper