J. Schmidhuber

发表

What''s interesting?

J. Schmidhuber, 1997 .

Measuring and Optimizing Behavioral Complexity

J. Schmidhuber, F. Gomez, J. Togelius, 2009 .

Don't forget randomness is still just a hypothesis

J. Schmidhuber, 2006, Nature.

Intrinsically Motivated Evolutionary Search for Vision-Based Reinforcement Learning

Faustino J. Gomez, Giuseppe Cuccu, Faustino Gomez, 2011 .

Hindsight policy gradients pdf

Filipe Wall Mutz, Paulo Rauber, Filipe Mutz, 2017, ICLR.

Incremental self-improvement for life-time multi-agent reinforcement learning

Juergen Schmidhuber, Jian H. Zhao, J. Schmidhuber, 1996 .

Facial beauty and fractal geometry

J. Schmidhuber, 1998 .

Natural Evolution Strategies

Tom Schaul, Jan Peters, Daan Wierstra, 2008, 2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence).

Lococode Performs Nonlinear ICA Without Knowing The Number Of Sources

S. Hochreiter, J. Schmidhuber, 1999 .

Guessing can Outperform Many Long Time Lag Algorithms

Sepp Hochreiter, Juergen Schmidhuber, S. Hochreiter, 1996 .

Comparing LSTM Recurrent Networks with Spiking Recurrent Networks on the Recognition of Spoken Digits.

Douglas Eck, Alex Graves, Juergen Schmidhuber, 2003 .

Simple Principles of Metalearning

Jieyu Zhao, Marco Wiering, Juergen Schmidhuber, 1996 .

Prefix-like Complexities of Finite and Infinite Sequences on Generalized Turing Machines.

J. Schmidhuber, A. Chernov, 2005 .

Framewise phoneme classification with bidirectional LSTM networks

J. Schmidhuber, A. Graves, A. Graves, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

Unsupervised Minimax: Adversarial Curiosity, Generative Adversarial Networks, and Predictability Minimization

J. Schmidhuber, 2019, ArXiv.

A General Method For Incremental Self-Improvement And Multi-Agent Learning In Unrestricted Environme

Juergen Schmidhuber, J. Schmidhuber, 1999 .

Deep Learning: Our Miraculous Year 1990-1991

J. Schmidhuber, 2020, ArXiv.

A First Look at Music Composition using LSTM Recurrent Neural Networks

J. Schmidhuber, D. Eck, 2002 .

Learning Team Strategies With Multiple Policy-Sharing Agents: A Soccer Case Study

Marco Wiering, Juergen Schmidhuber, Rafal Salustowicz, 1997 .

Generative Adversarial Networks are special cases of Artificial Curiosity (1990) and also closely related to Predictability Minimization (1991)

J. Schmidhuber, 2019, Neural Networks.

Unsupervised Minimax: Adversarial Curiosity, Generative Adversarial Networks, and Predictability Minimization

Juergen Schmidhuber, J. Schmidhuber, 2019, ArXiv.

Reinforcement Learning Upside Down: Don't Predict Rewards - Just Map Them to Actions pdf

Juergen Schmidhuber, J. Schmidhuber, 2019, ArXiv.

Artificial curiosity for autonomous space exploration

Tom Schaul, Giuseppe Cuccu, Tobias Glasmachers, 2011 .

Evolutionary computation versus reinforcement learning

J. Schmidhuber, J. Schmidhuber, 2000, 2000 26th Annual Conference of the IEEE Industrial Electronics Society. IECON 2000. 2000 IEEE International Conference on Industrial Electronics, Control and Instrumentation. 21st Century Technologies.

On learning how to learn learning strategies

Juergen Schmidhuber, J. Schmidhuber, 1994 .

Processing images by semi-linear predictability minimization.

N N Schraudolph, M Eldracher, J Schmidhuber, 1997, Network.