Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear qπ-Realizability and Concentrability. - Tkachuk, Volodymyr; Weisz, Gellért; Szepesvári, Csaba (2024)

Regret Minimization via Saddle Point Optimization. - Kirschner, Johannes; Bakhtiari, Seyed Alireza; Chandak, Kushagra; Tkachuk, Volodymyr; Szepesvári, Csaba (CoRR, 2024)

Trajectory Data Suffices for Statistically Efficient Learning in Offline RL with Linear qπ-Realizability and Concentrability. - Tkachuk, Volodymyr; Weisz, Gellért; Szepesvári, Csaba (CoRR, 2024)

Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning. - Schlegel, Matthew; Tkachuk, Volodymyr; White, Adam M.; White, Martha (Trans. Mach. Learn. Res., 2023)

Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning. - Tkachuk, Volodymyr; Bakhtiari, Seyed Alireza; Kirschner, Johannes; Jusup, Matej; Bogunovic, Ilija; Szepesvári, Csaba (2023)

Regret Minimization via Saddle Point Optimization. - Kirschner, Johannes; Bakhtiari, Seyed Alireza; Chandak, Kushagra; Tkachuk, Volodymyr; Szepesvári, Csaba (2023)

Efficient Planning in Combinatorial Action Spaces with Applications to Cooperative Multi-Agent Reinforcement Learning. - Tkachuk, Volodymyr; Bakhtiari, Seyed Alireza; Kirschner, Johannes; Jusup, Matej; Bogunovic, Ilija; Szepesvári, Csaba (CoRR, 2023)

The Effect of Q-function Reuse on the Total Regret of Tabular, Model-Free, Reinforcement Learning. - Tkachuk, Volodymyr; Subramanian, Sriram Ganapathi; Taylor, Matthew E. (CoRR, 2021)