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researcher

Jonathan Lenchner

2 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.LO1
ORCID 0000-0002-9427-8470

identity via Semantic Scholar / OpenAlex

most citedA Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.IT2024

Breaking through the classical Shannon entropy limit: A new frontier through logical semantics

Luis A. Lastras, Barry M. Trager, Jonathan Lenchner +4

Information theory has provided foundations for the theories of several application areas critical for modern society, including communications, computer storage, and AI. A key asp…

cs.AI2024★ 1 cited

A Neuro-Symbolic Approach to Multi-Agent RL for Interpretability and Probabilistic Decision Making

Chitra Subramanian, Miao Liu, Naweed Khan +5

Multi-agent reinforcement learning (MARL) is well-suited for runtime decision-making in optimizing the performance of systems where multiple agents coexist and compete for shared r…

cs.LO2024

Parallel Play Saves Quantifiers

Marco Carmosino, Ronald Fagin, Neil Immerman +4

The number of quantifiers needed to express first-order properties is captured by two-player combinatorial games called multi-structural (MS) games. We play these games on linear o…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.