1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.GT2024
Indirect Dynamic Negotiation in the Nash Demand Game
Tatiana V. Guy, Jitka Homolová, Aleksej Gaj
The paper addresses a problem of sequential bilateral bargaining with incomplete information. We proposed a decision model that helps agents to successfully bargain by performing i…
cs.LG2022★ 1 cited
Knowledge Transfer in Deep Reinforcement Learning via an RL-Specific GAN-Based Correspondence Function
Marko Ruman, Tatiana V. Guy
Deep reinforcement learning has demonstrated superhuman performance in complex decision-making tasks, but it struggles with generalization and knowledge reuse - key aspects of true…
cs.LG2020
Similarity-based transfer learning of decision policies
Eliška Zugarová, Tatiana V. Guy
A problem of learning decision policy from past experience is considered. Using the Fully Probabilistic Design (FPD) formalism, we propose a new general approach for finding a stoc…