A possibility for implementing curiosity and boredom in model-building neural controllers
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Information-based objective functions for active data selection
Neural Computation
Reinforcement learning for the adaptive control of perception and action
Reinforcement learning for the adaptive control of perception and action
Learning factorial codes by predictability minimization
Neural Computation
Sequential behavior and learning in evolved dynamical neural networks
Adaptive Behavior
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Inductive functional programming using incremental program transformation
Artificial Intelligence
Efficient reinforcement learning through symbiotic evolution
Machine Learning - Special issue on reinforcement learning
An introduction to Kolmogorov complexity and its applications (2nd ed.)
An introduction to Kolmogorov complexity and its applications (2nd ed.)
Incremental evolution of complex general behavior
Adaptive Behavior - Special issue on environment structure and behavior
Machine Learning - Special issue on inductive transfer
Learning cooperative lane selection strategies for highways
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Reinforcement learning with self-modifying policies
Learning to learn
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
A Representation for the Adaptive Generation of Simple Sequential Programs
Proceedings of the 1st International Conference on Genetic Algorithms
Designing Neural Networks using Genetic Algorithms
Proceedings of the 3rd International Conference on Genetic Algorithms
A Computer Scientist's View of Life, the Universe, and Everything
Foundations of Computer Science: Potential - Theory - Cognition, to Wilfried Brauer on the occasion of his sixtieth birthday
Sequential Decision Making Based on Direct Search
Sequence Learning - Paradigms, Algorithms, and Applications
The Speed Prior: A New Simplicity Measure Yielding Near-Optimal Computable Predictions
COLT '02 Proceedings of the 15th Annual Conference on Computational Learning Theory
Algorithmic Theories of Everything
Algorithmic Theories of Everything
Facial beauty and fractal geometry
Facial beauty and fractal geometry
The New AI: General & Sound & Relevant for Physics
The New AI: General & Sound & Relevant for Physics
What''s interesting?
Advances in evolutionary computing
Optimal Ordered Problem Solver
Machine Learning
Robust non-linear control through neuroevolution
Robust non-linear control through neuroevolution
The World in My Mind, My Mind in the World
The World in My Mind, My Mind in the World
Co-evolving recurrent neurons learn deep memory POMDPs
GECCO '05 Proceedings of the 7th annual conference on Genetic and evolutionary computation
Neural Computation
Neural Computation
ECML '07 Proceedings of the 18th European conference on Machine Learning
ALT '07 Proceedings of the 18th international conference on Algorithmic Learning Theory
Policy Gradients with Parameter-Based Exploration for Control
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Driven by Compression Progress
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part I
Fitness Expectation Maximization
Proceedings of the 10th international conference on Parallel Problem Solving from Nature: PPSN X
State-Dependent Exploration for Policy Gradient Methods
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Anticipatory Behavior in Adaptive Learning Systems
Reinforcement learning: a survey
Journal of Artificial Intelligence Research
Solving non-Markovian control tasks with neuroevolution
IJCAI'99 Proceedings of the 16th international joint conference on Artificial intelligence - Volume 2
Evolving mobile robots in simulated and real environments
Artificial Life
Active guidance for a finless rocket using neuroevolution
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
DS'07 Proceedings of the 10th international conference on Discovery science
2006: celebrating 75 years of AI - history and outlook: the next 25 years
50 years of artificial intelligence
Completely self-referential optimal reinforcement learners
ICANN'05 Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II
Nonlinear System Identification Using Coevolution of Models and Tests
IEEE Transactions on Evolutionary Computation
Sequential neural text compression
IEEE Transactions on Neural Networks
Gradient calculations for dynamic recurrent neural networks: a survey
IEEE Transactions on Neural Networks
Anticipatory Behavior in Adaptive Learning Systems
Higher Coordination With Less Control-A Result of Information Maximization in the Sensorimotor Loop
Adaptive Behavior - Animals, Animats, Software Agents, Robots, Adaptive Systems
On the influence of sensor morphology on vergence
SAB'10 Proceedings of the 11th international conference on Simulation of adaptive behavior: from animals to animats
Identifying surprising events in videos using bayesian topic models
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part III
Coherence progress: a measure of interestingness based on fixed compressors
AGI'11 Proceedings of the 4th international conference on Artificial general intelligence
AGI'11 Proceedings of the 4th international conference on Artificial general intelligence
Universal knowledge-seeking agents
ALT'11 Proceedings of the 22nd international conference on Algorithmic learning theory
Reinforcement learning and the creative, automated music improviser
EvoMUSART'12 Proceedings of the First international conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design
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I argue that data becomes temporarily interesting by itself to some self-improving, but computationally limited, subjective observer once he learns to predict or compress the data in a better way, thus making it subjectively simpler and more beautiful. Curiosity is the desire to create or discover more non-random, non-arbitrary, regular data that is novel and surprising not in the traditional sense of Boltzmann and Shannon but in the sense that it allows for compression progress because its regularity was not yet known. This drive maximizes interestingness, the first derivative of subjective beauty or compressibility, that is, the steepness of the learning curve. It motivates exploring infants, pure mathematicians, composers, artists, dancers, comedians, yourself, and (since 1990) artificial systems.