Integrating Reinforcement Learning into a Programming Language

Simpkins, Christopher L.

Integrating Reinforcement Learning into a Programming Language

AAAI 2010

/aaai/2010/simpkins2010aaai-integrating/

Abstract

My thesis work combines AI, programming language de-sign, and software engineering. I am integrating rein-forcement learning (RL) into a programming language so that the language achieves three primary goals: accessibil-ity, adaptivity, and modularity. My language, AFABL (A Friendly Adaptive Behavior Language), will be an agent programming language designed to be accessible to non-programming experts like behavioral scientists, game de-signers, and intelligence analysts. If I am successful, my work will enable a discipline of modular large-scale agent software engineering while making advanced agent model-ing accessible to authors of agent-based systems who are not programming experts. There is currently a spectrum of agent-based simulation and programming tools available to social scientists and

AAAI Semantic Scholar

Cite

Text

Simpkins. "Integrating Reinforcement Learning into a Programming Language." AAAI Conference on Artificial Intelligence, 2010.

Markdown

[Simpkins. "Integrating Reinforcement Learning into a Programming Language." AAAI Conference on Artificial Intelligence, 2010.](https://mlanthology.org/aaai/2010/simpkins2010aaai-integrating/)

BibTeX

@inproceedings{simpkins2010aaai-integrating,
  title     = {{Integrating Reinforcement Learning into a Programming Language}},
  author    = {Simpkins, Christopher L.},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2010},
  url       = {https://mlanthology.org/aaai/2010/simpkins2010aaai-integrating/}
}