Deep RL With Information Constrained Policies: Generalization in Continuous Control

Tyler Malloy
Tyler Malloy
Chris R. Sims
Chris R. Sims
Matthew Riemer
Matthew Riemer
Cited by: 0|Bibtex|Views11
Other Links: arxiv.org

Abstract:

Biological agents learn and act intelligently in spite of a highly limited capacity to process and store information. Many real-world problems involve continuous control, which represents a difficult task for artificial intelligence agents. In this paper we explore the potential learning advantages a natural constraint on information fl...More

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