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The Cartographer
A Brandom-ian view of Reinforcement Learning towards strong-AI
March 07, 2018 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Atrisha Sarkar
arXiv ID
1803.02912
Category
cs.AI: Artificial Intelligence
Citations
3
Venue
arXiv.org
Last Checked
4 months ago
Abstract
The analytic philosophy of Robert Brandom, based on the ideas of pragmatism, paints a picture of sapience, through inferentialism. In this paper, we present a theory, that utilizes essential elements of Brandom's philosophy, towards the objective of achieving strong-AI. We do this by connecting the constitutive elements of reinforcement learning and the Game Of Giving and Asking For Reasons. Further, following Brandom's prescriptive thoughts, we restructure the popular reinforcement learning algorithm A3C, and show that RL algorithms can be tuned towards the objective of strong-AI.
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