Borislav Mavrin

According to our database, Borislav Mavrin authored at least 10 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Self-supervised Contrastive BERT Fine-tuning for Fusion-Based Reviewed-Item Retrieval.

Mohammad Mahdi Abdollah Pour, Parsa Farinneya, Armin Toroghi, Anton Korikov, Ali Pesaranghader, Touqir Sajed, Manasa Bharadwaj, Borislav Mavrin, Scott Sanner

Proceedings of the Advances in Information Retrieval, 2023

2022

Optimal Search with Neural Networks: Challenges and Approaches.

Tianhua Li, Ruimin Chen, Borislav Mavrin, Nathan R. Sturtevant, Doron Nadav, Ariel Felner

Proceedings of the Fifteenth International Symposium on Combinatorial Search, 2022

2019

Efficient decorrelation of features using Gramian in Reinforcement Learning.

Borislav Mavrin, Daniel Graves, Alan Chan

CoRR, 2019

Distributional Reinforcement Learning for Efficient Exploration.

Borislav Mavrin, Shangtong Zhang, Hengshuai Yao, Linglong Kong, Kaiwen Wu, Yaoliang Yu

CoRR, 2019

Deep Reinforcement Learning with Decorrelation.

Borislav Mavrin, Hengshuai Yao, Linglong Kong

CoRR, 2019

Distributional Reinforcement Learning for Efficient Exploration.

Borislav Mavrin, Hengshuai Yao, Linglong Kong, Kaiwen Wu, Yaoliang Yu

Proceedings of the 36th International Conference on Machine Learning, 2019

Exploration in the Face of Parametric and Intrinsic Uncertainties.

Borislav Mavrin, Shangtong Zhang, Hengshuai Yao, Linglong Kong

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

QUOTA: The Quantile Option Architecture for Reinforcement Learning.

Shangtong Zhang, Borislav Mavrin, Linglong Kong, Bo Liu, Hengshuai Yao

CoRR, 2018

2017

Recover Fine-Grained Spatial Data from Coarse Aggregation.

Bang Liu, Borislav Mavrin, Linglong Kong, Di Niu

Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2016

House Price Modeling over Heterogeneous Regions with Hierarchical Spatial Functional Analysis.

Bang Liu, Borislav Mavrin, Di Niu, Linglong Kong

Proceedings of the IEEE 16th International Conference on Data Mining, 2016