Text Understanding with the Attention Sum Reader Network. - Rudolf Kadlec; Martin Schmid; Ondrej Bajgar; Jan Kleindienst (ACL (1), 2016)

Embracing data abundance: BookTest Dataset for Reading Comprehension. - Ondrej Bajgar; Rudolf Kadlec; Jan Kleindienst (CoRR, 2016)

Embracing Data Abundance. - Ondrej Bajgar; Rudolf Kadlec; Jan Kleindienst (ICLR (Workshop), 2017)

Knowledge Base Completion: Baselines Strike Back. - Rudolf Kadlec; Ondrej Bajgar; Jan Kleindienst (Rep4NLP@ACL, 2017)

A Boo(n) for Evaluating Architecture Performance. - Ondrej Bajgar; Rudolf Kadlec; Jan Kleindienst (ICML, 2018)

Generating Dialogue Agents via Automated Planning. - Adi Botea; Christian Muise; Shubham Agarwal 002; Oznur Alkan; Ondrej Bajgar; Elizabeth Daly; Akihiro Kishimoto; Luis A. Lastras; Radu Marinescu 002; Josef Ondrej; Pablo Pedemonte; Miroslav Vodolán (CoRR, 2019)

Planning for Goal-Oriented Dialogue Systems. - Christian Muise; Tathagata Chakraborti; Shubham Agarwal 002; Ondrej Bajgar; Arunima Chaudhary; Luis Alfonso Lastras-Montaño; Josef Ondrej; Miroslav Vodolán; Charlie Wiecha (CoRR, 2019)

Negative Human Rights as a Basis for Long-term AI Safety and Regulation. - Ondrej Bajgar; Jan Horenovsky (J. Artif. Intell. Res., 2023)

Negative Human Rights as a Basis for Long-term AI Safety and Regulation (Abstract Reprint). - Ondrej Bajgar; Jan Horenovsky (IJCAI, 2024)

Walking the Values in Bayesian Inverse Reinforcement Learning. - Ondrej Bajgar; Alessandro Abate; Konstantinos Gatsis; Michael A. Osborne (UAI, 2024)

Toward Information Theoretic Active Inverse Reinforcement Learning. - Ondrej Bajgar; Sid William Gould; Rohan Narayan Langford Mitta; Jonathon Liu; Oliver Newcombe; Jack Golden (CoRR, 2025)

PAC Apprenticeship Learning with Bayesian Active Inverse Reinforcement Learning. - Ondrej Bajgar; Dewi S. W. Gould; Jonathon Liu; Alessandro Abate; Konstantinos Gatsis; Michael A. Osborne (CoRR, 2025)