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 ...

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 ...

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

List of references · Bakker, B., Schmidhuber, J.: Hierarchical reinforcement learning based on subgoal discovery and subpolicy specialization. · Barto, A.G., ...

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 ...

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.

[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.

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 ...

Simple Algorithmic Principles of Discovery, Subjective Beauty ...

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 ...

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 ...

Figure 1 from Simple algorithmic theory of subjective beauty, novelty ...

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

Information-seeking, curiosity, and attention - Pierre-Yves Oudeyer

(2013) Maximizing fun by creating data with easily · reducible subjective complexity. In Intrinsically Motivated Learning in · Natural and Artificial Systems ...

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 ...

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

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

Compression Progress-Based Curiosity Drive for Developmental ...

Maximizing Fun by Creating Data with Easily Reducible Subjective Complexity ... I argue that data becomes temporarily interesting by itself to some self ...

Irreducible worlds of inexhaustible meaning: early 1950s machine ...

This machine learning implemented in learning programs came to be seen by some researchers as more efficacious descriptions of the natural and ...

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 ...