Kagan Tumer

Generating author description...

All published works

Action	Title	Year	Authors
+ PDF Chat	Safe Multiagent Coordination via Entropic Exploration	2024	Ayhan Alp Aydeniz Enrico Marchesini Robert Loftin Christopher Amato Kagan Tumer
+	Collaborative Evolutionary Reinforcement Learning	2019	Shauharda Khadka Somdeb Majumdar Tarek Nassar Zach Dwiel Evren Tumer Santiago Miret Yinyin Liu Kagan Tumer
+	Evolutionary Reinforcement Learning for Sample-Efficient Multiagent Coordination	2019	Shauharda Khadka Somdeb Majumdar Santiago Miret Stephen McAleer Kagan Tumer
+	Collaborative Evolutionary Reinforcement Learning	2019	Shauharda Khadka Somdeb Majumdar Tarek Nassar Zach Dwiel Evren Tumer Santiago Miret Yinyin Liu Kagan Tumer
+	Evolutionary Reinforcement Learning	2018	Shauharda Khadka Kagan Tumer
+	Evolution-Guided Policy Gradient in Reinforcement Learning	2018	Shauharda Khadka Kagan Tumer
+ PDF Chat	Improving search algorithms by using intelligent coordinates	2004	David H. Wolpert Kagan Tumer Esfandiar Bandari
+	Collectives for the Optimal Combination of Imperfect Objects	2003	Kagan Tumer David H. Wolpert
+ PDF Chat	Classifier combining through trimmed means and order statistics	2002	Kagan Tumer Joydeep Ghosh
+ PDF Chat	Robust Combining of Disparate Classifiers through Order Statistics	2002	Kagan Tumer Joydeep Ghosh
+	Robust Order Statistics Based Ensembles for Distributed Data Mining	2001	Kagan Tumer Joydeep Ghosh
+	Adaptivity in agent-based routing for data networks	2000	David H. Wolpert Sergery Kirshner Chris J. Merz Kagan Tumer
+ PDF Chat	Collective intelligence for control of distributed dynamical systems	2000	David H. Wolpert Kevin Wheeler Kagan Tumer
+	General principles of learning-based multi-agent systems	1999	David H. Wolpert Kevin Wheeler Kagan Tumer
+	Avoiding Braess' Paradox through Collective Intelligence	1999	David H. Wolpert Kagan Tumer
+	An Introduction to Collective Intelligence	1999	David H. Wolpert Kagan Tumer
+	Robust Combining of Disparate Classifiers through Order Statistics	1999	Kagan Tumer Joydeep Ghosh
+	Using Collective Intelligence to Route Internet Traffic	1999	David H. Wolpert Kagan Tumer Jeremy Frank
+	Adaptivity in Agent-Based Routing for Data Networks	1999	David H. Wolpert Sergey Kirshner Chris J. Merz Kagan Tumer
+	General Principles of Learning-Based Multi-Agent Systems	1999	David H. Wolpert Kevin Wheeler Kagan Tumer
+ PDF Chat	Ensembles of radial basis function networks for spectroscopic detection of cervical precancer	1998	Kagan Tumer Nirmala Ramanujam Joydeep Ghosh Rebecca Richards‐Kortum
+	Classifier Combining through Trimmed Means and Order Statistics.	1998	Kagan Tumer Joydeep Ghosh

Common Coauthors

Coauthor	Papers Together
David H. Wolpert	10
Joydeep Ghosh	6
Shauharda Khadka	5
Kevin Wheeler	3
Somdeb Majumdar	3
Santiago Miret	3
Evren Tumer	2
Zach Dwiel	2
Chris J. Merz	2
Yinyin Liu	2
Tarek Nassar	1
Stephen McAleer	1
Sergery Kirshner	1
Jeremy Frank	1
Sergey Kirshner	1
Ayhan Alp Aydeniz	1
Rebecca Richards‐Kortum	1
Nirmala Ramanujam	1
Robert Loftin	1
Christopher Amato	1
Esfandiar Bandari	1
Tarek Nassar	1
Enrico Marchesini	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	A prototype model of stock exchange	1997	Guido Caldarelli Matteo Marsili Y.-C. Zhang	5
+	A first course in order statistics	1993		4
+ PDF Chat	Estimation of Location and Scale Parameters by Order Statistics from Singly and Doubly Censored Samples	1956	A. E. Sarhan Bernard Greenberg	4
+	Modeling Market Mechanism with Evolutionary Games	1998	Yicheng Zhang	3
+	General principles of learning-based multi-agent systems	1999	David H. Wolpert Kevin Wheeler Kagan Tumer	3
+	An Introduction to Collective Intelligence	1999	David H. Wolpert Kagan Tumer	3
+ PDF Chat	None	1996	Leo Breiman	3
+	Adaptive Competition, Market Efficiency, Phase Transitions and Spin-Glasses	1997	Robert Savit Radu Manuca Rick Riolo	3
+ PDF Chat	Emergence of cooperation and organization in an evolutionary game	1997	Damien Challet Yong Zhang	3
+	Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor	2018	Tuomas Haarnoja Aurick Zhou Pieter Abbeel Sergey Levine	2
+	Continuous control with deep reinforcement learning	2015	Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel Nicolas Heess Tom Erez Yuval Tassa David Silver Daan Wierstra	2
+	GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms	2018	Cédric Colas Olivier Sigaud Pierre‐Yves Oudeyer	2
+	None	1997	Jerome H. Friedman	2
+	Proximal Policy Optimization Algorithms	2017	John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov	2
+	Evolution Strategies as a Scalable Alternative to Reinforcement Learning	2017	Tim Salimans Jonathan Ho Xi Chen Ilya Sutskever	2
+	Error-Correcting Output Coding Corrects Bias and Variance	1995	Eun Bae Kong Thomas G. Dietterich	2
+	Using Collective Intelligence to Route Internet Traffic	1999	David H. Wolpert Kagan Tumer Jeremy Frank	2
+ PDF Chat	Competition, efficiency and collective behavior in the “El Farol” bar model	1999	M. Cara O. Plá F. Guinea	2
+	Avoiding Braess' Paradox through Collective Intelligence	1999	David H. Wolpert Kagan Tumer	2
+	Linear and Order Statistics Combiners for Pattern Classification	1999	Kagan Tumer Joydeep Ghosh Sonie Lau	2
+	Learning with ensembles: How overfitting can be useful	1995	Peter Sollich Anders Krogh	2
+	Virtual path bandwidth allocation in multiuser networks	1997	Aurel A. Lazar Ariel Orda Dimitrios Pendarakis	2
+	Neural Network Classifiers Estimate Bayesian <i>a posteriori</i> Probabilities	1991	Michael D. Richard Richard P. Lippmann	2
+	Asynchronous Methods for Deep Reinforcement Learning	2016	Volodymyr Mnih Adrià Puigdomènech Badia Mehdi Mirza Alex Graves Tim Harley Timothy Lillicrap David Silver Koray Kavukcuoglu	2
+ PDF Chat	Matrix Games, Mixed Strategies, and Statistical Mechanics	1998	Johannes Berg Andreas Engel	2
+ PDF Chat	On the minority game: Analytical and numerical studies	1998	Damien Challet Yi‐Cheng Zhang	2
+	Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control	2017	Riashat Islam Peter Henderson Maziar Gomrokchi Doina Precup	2
+ PDF Chat	Deep Reinforcement Learning That Matters	2018	Peter Henderson Riashat Islam Philip Bachman Joëlle Pineau Doina Precup David Meger	2
+	Parameter Space Noise for Exploration	2017	Matthias Plappert Rein Houthooft Prafulla Dhariwal Szymon Sidor Richard Y. Chen Xi Chen Tamim Asfour Pieter Abbeel Marcin Andrychowicz	2
+	Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning	2017	Felipe Petroski Such Vashisht Madhavan Edoardo Conti Joel Lehman Kenneth O. Stanley Jeff Clune	2
+ PDF Chat	Phase Diagram of Traffic States in the Presence of Inhomogeneities	1999	Dirk Helbing Ansgar Hennecke Martin Treiber	1
+	Methods For Combining Experts' Probability Assessments	1995	Robert A. Jacobs	1
+ PDF Chat	Dynamics of individual specialization and global diversification in communities	1998	Vivek S. Borkar Sanjay Jain Govindan Rangarajan	1
+ PDF Chat	Mean-Field Solution of the Small-World Network Model	2000	Michelle G. Newman Cristopher Moore Duncan J. Watts	1
+ PDF Chat	No free lunch theorems for optimization	1997	David H. Wolpert William G. Macready	1
+ PDF Chat	Ensembles of radial basis function networks for spectroscopic detection of cervical precancer	1998	Kagan Tumer Nirmala Ramanujam Joydeep Ghosh Rebecca Richards‐Kortum	1
+ PDF Chat	Exact results and scaling properties of small-world networks	2000	Rahul Kulkarni Eivind Almaas D. Stroud	1
+	Coherence and clustering in ensembles of neural networks	1997	Damián H. Zanette Alexander S. Mikhailov	1
+	Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)	2015	Djork-Arné Clevert Thomas Unterthiner Sepp Hochreiter	1
+	Benchmarking Deep Reinforcement Learning for Continuous Control	2016	Yan Duan Xi Chen Rein Houthooft John Schulman Pieter Abbeel	1
+	Convolution by Evolution: Differentiable Pattern Producing Networks	2016	Chrisantha Fernando Dylan Banarse Malcolm Reynolds Frederic Besse David Pfau Max Jaderberg Marc Lanctot Daan Wierstra	1
+	VIME: Variational Information Maximizing Exploration	2016	Rein Houthooft Xi Chen Yan Duan John Schulman Filip De Turck Pieter Abbeel	1
+	Unifying Count-Based Exploration and Intrinsic Motivation	2016	Marc G. Bellemare Sriram Srinivasan Georg Ostrovski Tom Schaul David Saxton Rémi Munos	1
+	Sample Efficient Actor-Critic with Experience Replay	2016	Ziyu Wang Victor Bapst Nicolas Heess Volodymyr Mnih Rémi Munos Koray Kavukcuoglu Nando de Freitas	1
+	PathNet: Evolution Channels Gradient Descent in Super Neural Networks	2017	Chrisantha Fernando Dylan Banarse Charles Blundell Yori Zwólš David Ha Andrei A. Rusu Alexander Pritzel Daan Wierstra	1
+	Multi-step Off-policy Learning Without Importance Sampling Ratios	2017	Ashique Rupam Mahmood Huizhen Yu Richard S. Sutton	1
+ PDF Chat	Multi-Step Reinforcement Learning: A Unifying Algorithm	2018	Kristopher De Asis Juan Hernandez-Garcia Gerhard Holland Richard S. Sutton	1
+	Count-Based Exploration with Neural Density Models	2017	Georg Ostrovski Marc G. Bellemare Aäron van den Oord Rémi Munos	1
+	Curiosity-driven Exploration by Self-supervised Prediction	2017	Deepak Pathak Pulkit Agrawal Alexei A. Efros Trevor Darrell	1
+	Noisy Networks for Exploration	2017	Meire Fortunato Mohammad Gheshlaghi Azar Bilal Piot Jacob Menick Ian Osband Alex Graves Vlad Mnih Rémi Munos Demis Hassabis Olivier Pietquin	1