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Maximizing fun by creating data with easily reducible subjective ...

Maximizing fun by creating data with easily reducible subjective ...

Maximizing Fun by Creating Data with Easily Reducible Subjective ...

There are at least two ways of having fun: execute a learning algorithm that improves the compression of the already known data (in online settings, without ...

Maximizing Fun by Creating Data with Easily Reducible Subjective ...

Abstract The Formal Theory of Fun and Creativity (1990–2010) [Schmidhuber, J.: Formal theory of creativity, fun, and intrinsic motivation (1990–2010).

Maximizing Fun by Creating Data with Easily Reducible Subjective ...

Download Citation | Maximizing Fun by Creating Data with Easily Reducible Subjective Complexity | The Formal Theory of Fun and Creativity (1990–2010) ...

Maximizing fun by creating data with easily reducible subjective ...

Dive into the research topics of 'Maximizing fun by creating data with easily reducible subjective complexity'. Together they form a unique ...

Maximizing Fun by Creating Data with Easily Reducible Subjective ...

Maximizing Fun by Creating Data with Easily Reducible Subjective Complexity · List of references · Publications that cite this publication.

Active Exploration, Artificial Curiosity & What's Interesting - IDSIA

Maximizing Fun By Creating Data With Easily Reducible Subjective Complexity. In G. Baldassarre and M. Mirolli (eds.), Roadmap for Intrinsically Motivated ...

[PDF] Driven by Compression Progress - Semantic Scholar

... subjective observer once he learns to predict or compress the data in a better ... Maximizing Fun by Creating Data with Easily Reducible Subjective Complexity.

Maximizing Fun by Creating Data with Easily Reducible Subjective ...

摘要. The Formal Theory of Fun and Creativity (1990–2010) [Schmidhuber, J.: Formal theory of creativity, fun, and intrinsi.

Juergen Schmidhuber's online publications - IDSIA

Schmidhuber. Maximizing Fun By Creating Data With Easily Reducible Subjective Complexity. In G. Baldassarre and M. Mirolli (eds.), Roadmap for Intrinsically ...

Intrinsically motivated learning in natural and artificial systems

5 - Maximizing Fun by Creating Data with Easily Reducible Subjective Complexity -- Chap. 6 - The Role of the Basal Ganglia in Discovering Novel Actions ...

Formal Theory of Fun and Creativity - SpringerLink

Similar content being viewed by others · Maximizing Fun by Creating Data with Easily Reducible Subjective Complexity · The Place of Logic in Creative Reason · A ...

[PDF] Optimal Artificial Curiosity, Creativity, Music, and the Fine Arts

21 Excerpts. Maximizing Fun by Creating Data with Easily Reducible Subjective Complexity · J. Schmidhuber. Computer Science. Intrinsically Motivated Learning in ...

Incremental Development of Complex Behaviors through Automatic ...

Maximizing fun by creating data with easily reducible subjective complexity. 2013, Intrinsically Motivated Learning in Natural and Artificial Systems. View ...

Intrinsically motivated learning systems: An overview. - APA PsycNet

Maximizing fun by creating data with easily reducible subjective complexity. In: Baldassarre, G., Mirolli, M. (eds.) Intrinsically Motivated Learning in ...

Curiosity Did Not Kill the Robot: A Curiosity-based Learning System ...

Maximizing fun by creating data with easily reducible subjective complexity. In Intrinsically Motivated Learning in Natural and Artificial Systems. Springer ...

Information-seeking, curiosity, and attention: computational and ...

Schmidhuber, J. Maximizing fun by creating data with easily reducible subjective complexity. Baldassarre, G. ∙ Mirolli, M. Intrinsically ...

Attention, information-seeking, and active sampling - APA PsycNet

Maximizing fun by creating data with easily reducible subjective complexity. In G. Baldassarre & M. Mirolli (Eds.), Intrinsically motivated learning in ...

Information seeking, curiosity and attention: computational and ...

Maximizing fun by creating data with easily reducible subjective complexity. In: Baldassarre G, Mirolli M, editors. Intrinsically Motivated ...

Data-Driven Imitation Learning for a Shopkeeper Robot

... information from the database at runtime. To the best of our knowledge ... Maximizing fun by creating data with easily reducible subjective complexity.

Compression Progress-Based Curiosity Drive for Developmental ...

I argue that data becomes temporarily interesting by itself to some self-improving, but computationally limited, subjective observer once he learns to predict ...