6 citations · 11 across the 4 of their papers we have counts for
3 papers · 1 filter
Self-Imitation Learning from Demonstrations
Georgiy Pshikhachev, Dmitry Ivanov, Vladimir Egorov +1
Despite the numerous breakthroughs achieved with Reinforcement Learning (RL), solving environments with sparse rewards remains a challenging task that requires sophisticated explor…
Improving State-of-the-Art in One-Class Classification by Leveraging Unlabeled Data
Farid Bagirov, Dmitry Ivanov, Aleksei Shpilman
When dealing with binary classification of data with only one labeled class data scientists employ two main approaches, namely One-Class (OC) classification and Positive Unlabeled…
Balancing Rational and Other-Regarding Preferences in Cooperative-Competitive Environments
Dmitry Ivanov, Vladimir Egorov, Aleksei Shpilman
Recent reinforcement learning studies extensively explore the interplay between cooperative and competitive behaviour in mixed environments. Unlike cooperative environments where a…