Anushka Sharma

Anushka Sharma

she/her

Undergraduate AI researcher specializing in open-ended evolution and AGI safety. I design evolutionary frameworks that sustain novelty without explicit fitness functions, addressing reward hacking in AGI.

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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.

Pages

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 2

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 1

less than 1 minute read

Published:

This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

portfolio

publications

Paper Title Number 4

Published in GitHub Journal of Bugs, 2024

This paper is about fixing template issue #693.

Recommended citation: Your Name, You. (2024). "Paper Title Number 3." GitHub Journal of Bugs. 1(3).
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Evolving Self-Organising Agents Without Fitness: Three Falsifiable Experiments from Constraint-Driven Selection to Developmental Encoding

Published in Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2026 Companion), 2026

This paper presents three falsifiable experiments exploring constraint-driven selection and developmental encoding as mechanisms for sustaining open-ended evolution without explicit fitness functions. Grounded in the Genesis Engine platform, it bridges evolutionary computation and AGI safety by demonstrating that novelty can emerge and persist through structural constraints alone.

Recommended citation: Anushka Sharma. (accepted). "Evolving Self-Organising Agents Without Fitness: Three Falsifiable Experiments from Constraint-Driven Selection to Developmental Encoding." In Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO '26 Companion). To appear.
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Genesis: An Empirical Platform for Studying Open-Ended Evolution Without Fitness Functions

Published in Genetic and Evolutionary Computation Conference (GECCO 2026) – Late-Breaking Abstracts, 2026

This late-breaking abstract introduces Genesis, a sham-controlled empirical platform for studying open-ended evolution in the absence of explicit fitness functions. Genesis enables reproducible, statistically rigorous investigation of evolutionary viability, novelty continuity, and constraint-driven selection across multiple experimental configurations.

Recommended citation: Anushka Sharma. (accepted). "Genesis: An Empirical Platform for Studying Open-Ended Evolution Without Fitness Functions." In Genetic and Evolutionary Computation Conference (GECCO '26) – Late-Breaking Abstracts. To appear.
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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.