J. Kolen

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Field Guide to Dynamical Recurrent Networks

John F. Kolen, Stefan C. Kremer, S. C. Kremer, 2001 .

Gradient Flow in Recurrent Nets: the Difficulty of Learning Long-Term Dependencies

S. C. Kremer, Yoshua Bengio, J. Kolen, 2001 .

Winning Isn ’ t Everything : Training Agents to Playtest Modern Games

Kazi A. Zaman, A. Beirami, J. Kolen, 2019 .

Backpropagation is Sensitive to Initial Conditions

John F. Kolen, Jordan B. Pollack, J. Pollack, 1990, Complex Syst..

Fool's Gold: Extracting Finite State Machines from Recurrent Network Dynamics

John F. Kolen, J. Kolen, 1993, NIPS.

Dynamic Difficulty Adjustment for Maximized Engagement in Digital Games

Su Xue, John Kolen, Navid Aghdaie, 2017, WWW.

Multiassociative Memory

J. Pollack, J. Kolen, 1991 .

Universal Computation and SuperTuring Capabilities

John F. Kolen, Stefan C. Kremer, S. C. Kremer, 2001 .

Networks with Adaptive State Transitions

John F. Kolen, Stefan C. Kremer, S. C. Kremer, 2001 .

Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference, May 21-23, 2001, Key West, Florida, USA

John F. Kolen, Ingrid Russell, J. Kolen, 2001, FLAIRS.

The Origin of Clusters in Recurrent Neural Network State Space

John F. Kolen, J. Kolen, 2019, Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society.

Representation beyond Finite States: Alternatives to Pushdown Automata

John F. Kolen, Stefan C. Kremer, S. C. Kremer, 2001 .

Dynamical Systems and Iterated Function Systems

John F. Kolen, Stefan C. Kremer, S. C. Kremer, 2001 .

Recurrent Networks: State Machines Or Iterated Function Systems?

J. Kolen, 1994 .

The Intractability of Face Reachability in 3D Visit-Once Piecewise-Constant Derivative Systems

J. Kolen, F. Zhao, 2007 .

From Sequences to Data Structures: Theory and Applications

John F. Kolen, Stefan C. Kremer, S. C. Kremer, 2001 .

Dynamical Recurrent Networks for Sequential Data Processing

S. C. Kremer, J. Kolen, 1998, Hybrid Neural Systems.

The observers' paradox: apparent computational complexity in physical systems

John F. Kolen, Jordan B. Pollack, J. Pollack, 1995, J. Exp. Theor. Artif. Intell..

Learning in parallel distributed processing networks: Computational complexity and information content

John F. Kolen, Ashok K. Goel, J. Kolen, 1991, IEEE Trans. Syst. Man Cybern..

Evolutionary Search for Matrix Multiplication Algorithms

John F. Kolen, Phillip Bruce, J. Kolen, 2001, FLAIRS.

Resonance and the Perception of Musical Meter

John F. Kolen, Edward W. Large, J. Kolen, 1994, Connect. Sci..

Reducing the time complexity of the fuzzy c-means algorithm

John F. Kolen, Tim Hutcheson, J. Kolen, 2002, IEEE Trans. Fuzzy Syst..

EOMM: An Engagement Optimized Matchmaking Framework

Zhengxing Chen, Yizhou Sun, Magy Seif El-Nasr, 2017, WWW.

Horizontal Scaling With a Framework for Providing AI Solutions Within a Game Company

Meng Wu, John F. Kolen, Mohsen Sardari, 2018, AAAI.

Prediction of lake inflows with neural networks

John F. Kolen, Rattikorn Hewett, J. Kolen, 2000, Smc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0.

Backpropagation without weight transport

J. F. Kolen, J. B. Pollack, J. Pollack, 1994, Proceedings of 1994 IEEE International Conference on Neural Networks (ICNN'94).

Neural Network Architectures for the Modeling of Dynamic Systems

John F. Kolen, Stefan C. Kremer, S. C. Kremer, 2001 .

Evaluating Benchmark Problems by Random Guessing

John F. Kolen, Stefan C. Kremer, S. C. Kremer, 2001 .

Winning Is Not Everything: Enhancing Game Development With Intelligent Agents

Mohsen Sardari, Long Lin, John Kolen, 2019, IEEE Transactions on Games.

Gradient Calculations for Dynamic Recurrent Neural Networks

John F. Kolen, Stefan C. Kremer, S. C. Kremer, 2001 .

Exploring the computational capabilities of recurrent neural networks

John F. Kolen, J. Kolen, 1995 .

Winning Isn't Everything: Training Human-Like Agents for Playtesting and Game AI pdf

Mohsen Sardari, Long Lin, Ahmad Beirami, 2019, ArXiv.

Gradient Flow in Recurrent Nets: The Difficulty of Learning LongTerm Dependencies

S. C. Kremer, J. Kolen, 2001 .