9 citations · 21 across the 7 of their papers we have counts for
8 papers
Deep Contract Design via Discontinuous Networks
Tonghan Wang, Paul Dütting, Dmitry Ivanov +2
Contract design involves a principal who establishes contractual agreements about payments for outcomes that arise from the actions of an agent. In this paper, we initiate the stud…
Mediated Multi-Agent Reinforcement Learning
Dmitry Ivanov, Ilya Zisman, Kirill Chernyshev
The majority of Multi-Agent Reinforcement Learning (MARL) literature equates the cooperation of self-interested agents in mixed environments to the problem of social welfare maximi…
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…
Optimal-er Auctions through Attention
Dmitry Ivanov, Iskander Safiulin, Igor Filippov +1
RegretNet is a recent breakthrough in the automated design of revenue-maximizing auctions. It combines the flexibility of deep learning with the regret-based approach to relax the…
Flatland Competition 2020: MAPF and MARL for Efficient Train Coordination on a Grid World
Florian Laurent, Manuel Schneider, Christian Scheller +24
The Flatland competition aimed at finding novel approaches to solve the vehicle re-scheduling problem (VRSP). The VRSP is concerned with scheduling trips in traffic networks and th…
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…
Stealed-bid Auctions: Detecting Bid Leakage via Semi-Supervised Learning
Dmitry I. Ivanov, Alexander S. Nesterov
Bid leakage is a corrupt scheme in a first-price sealed-bid auction in which the procurer leaks the opponents' bids to a favoured participant. The rational behaviour of such partic…