Sertan Girgin

发表

Area measurement of large closed regions with a mobile robot

Emre Ugur, Erol Sahin, Sertan Girgin, 2006, Auton. Robots.

A Novel Multilingual Report Generation System for Medical Applications

Sertan Girgin, Kaya Kuru, Kemal Arda, 2009, AIME.

Developing Diagnostic DSSs Based on a Novel Data Collection Methodology

Sertan Girgin, Kaya Kuru, Kemal Arda, 2009, KSEM.

State Similarity Based Approach for Improving Performance in RL

Reda Alhajj, Faruk Polat, Sertan Girgin, 2007, IJCAI.

Basis Function Construction in Reinforcement Learning Using Cascade-Correlation Learning Architecture

Philippe Preux, Sertan Girgin, 2008, 2008 Seventh International Conference on Machine Learning and Applications.

Learning by Automatic Option Discovery from Conditionally Terminating Sequences

Reda Alhajj, Faruk Polat, Sertan Girgin, 2006, ECAI.

From assets to stories via the Google Cultural Institute Platform

W. Brent Seales, Sertan Girgin, W. B. Seales, 2013, 2013 IEEE International Conference on Big Data.

Text based user comments as a signal for automatic language identification of online videos

Sertan Girgin, Reshu Jain, Natalia Ponomareva, 2017, ICMI.

What Matters In On-Policy Reinforcement Learning? A Large-Scale Empirical Study pdf

Marcin Andrychowicz, Matthieu Geist, Olivier Pietquin, 2020, ArXiv.

Effectiveness of Considering State Similarity for Reinforcement Learning

Reda Alhajj, Faruk Polat, Sertan Girgin, 2006, IDEAL.

Basis Expansion in Natural Actor Critic Methods

Philippe Preux, Sertan Girgin, 2008, EWRL.

Feature Discovery in Reinforcement Learning Using Genetic Programming

Philippe Preux, Sertan Girgin, P. Preux, 2008, EuroGP.

Improving reinforcement learning by using sequence trees

Reda Alhajj, Faruk Polat, Sertan Girgin, 2010, Machine Learning.

Planning-based Approach for Optimizing the Display of Online Advertising Campaigns

Philippe Preux, Sertan Girgin, Olivier Nicol, 2010, NIPS 2010.

Recent Advances in Reinforcement Learning: 8th European Workshop, EWRL 2008, Villeneuve d'Ascq, France, June 30-July 3, 2008, Revised and Selected Papers

Philippe Preux, Rémi Munos, Daniil Ryabko, 2008 .

Feature discovery in approximate dynamic programming

Philippe Preux, Sertan Girgin, Manuel Loth, 2009, 2009 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning.

Positive Impact of State Similarity on Reinforcement Learning Performance

Reda Alhajj, Faruk Polat, Sertan Girgin, 2007, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Recent Advances in Reinforcement Learning

Philippe Preux, Rémi Munos, Daniil Ryabko, 2008, Lecture Notes in Computer Science.

Advertising Campaigns Management: Should We Be Greedy?

Philippe Preux, Sertan Girgin, Olivier Nicol, 2010, 2010 IEEE International Conference on Data Mining.

A novel report generation approach for medical applications: The SISDS methodology and its applications

Sertan Girgin, Kaya Kuru, Kemal Arda, 2013, Int. J. Medical Informatics.

Abstraction in Reinforcement Learning

Sertan Girgin, Sertan Girgin, 2009 .

Incremental Basis Function Expansion in Reinforcement Learning using Cascade-Correlation Networks

Philippe Preux, Sertan Girgin, 2008 .

A Bilinear Interpolation Based Approach for Optimizing Hematoxylin and Eosin Stained Microscopical Images

Sertan Girgin, Kaya Kuru, 2011, PRIB.

Managing advertising campaigns — an approximate planning approach

Philippe Preux, Sertan Girgin, Olivier Nicol, 2012, Frontiers of Computer Science.

Ali Emre Turgut, Erol Sahin, Sertan Girgin, 2008, Swarm Intelligence.

Option Discovery in Reinforcement Learning using Frequent Common Subsequences of Actions

Faruk Polat, Sertan Girgin, Sertan Girgin, 2005, International Conference on Computational Intelligence for Modelling, Control and Automation and International Conference on Intelligent Agents, Web Technologies and Internet Commerce (CIMCA-IAWTIC'06).

A decision support system for assessing landfill performance.

Adnan Yazici, Sertan Girgin, Kahraman Unlü, 2010, Waste management.

Brax - A Differentiable Physics Engine for Large Scale Rigid Body Simulation pdf

Olivier Bachem, Sertan Girgin, Igor Mordatch, 2021, NeurIPS Datasets and Benchmarks.

Hyperparameter Selection for Imitation Learning

Marcin Andrychowicz, Matthieu Geist, Olivier Pietquin, 2021, ICML.

RLDS: an Ecosystem to Generate, Share and Use Datasets in Reinforcement Learning pdf

Olivier Pietquin, Sertan Girgin, Nikola Momchev, 2021, ArXiv.

What Matters for On-Policy Deep Actor-Critic Methods? A Large-Scale Study

Matthieu Geist, Olivier Pietquin, Raphaël Marinier, 2021, ICLR.

What Matters for Adversarial Imitation Learning? pdf

Marcin Andrychowicz, Matthieu Geist, Olivier Pietquin, 2021, NeurIPS.

Continuous Control with Action Quantization from Demonstrations pdf

Matthieu Geist, Olivier Pietquin, Sertan Girgin, 2021, ArXiv.

Solving N-player dynamic routing games with congestion: a mean field approach pdf

Alexandre M. Bayen, Eric Goubault, Olivier Pietquin, 2021, AAMAS.

Blind Area Measurement with Mobile Robots

Erol Şahin, Sertan Girgin, 2003 .