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Learning and Sustaining Shared Normative Systems via Bayesian Rule
  Induction in Markov Games
v1v2 (latest)

Learning and Sustaining Shared Normative Systems via Bayesian Rule Induction in Markov Games

20 February 2024
Ninell Oldenburg
Zhi-Xuan Tan
ArXiv (abs)PDFHTML

Papers citing "Learning and Sustaining Shared Normative Systems via Bayesian Rule Induction in Markov Games"

9 / 9 papers shown
Title
A Survey on Personalized Alignment -- The Missing Piece for Large Language Models in Real-World Applications
A Survey on Personalized Alignment -- The Missing Piece for Large Language Models in Real-World Applications
Jian Guan
Jian Wu
Jia-Nan Li
Chuanqi Cheng
Wei Wu
LM&MA
139
3
0
21 Mar 2025
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining
  Language Models with First-Order Logic Provers
LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers
Theo X. Olausson
Alex Gu
Benjamin Lipkin
Cedegao E. Zhang
Armando Solar-Lezama
Josh Tenenbaum
Roger Levy
LRMAI4CEReLM
136
116
0
23 Oct 2023
Constitutional AI: Harmlessness from AI Feedback
Constitutional AI: Harmlessness from AI Feedback
Yuntao Bai
Saurav Kadavath
Sandipan Kundu
Amanda Askell
John Kernion
...
Dario Amodei
Nicholas Joseph
Sam McCandlish
Tom B. Brown
Jared Kaplan
SyDaMoMe
208
1,634
0
15 Dec 2022
Law Informs Code: A Legal Informatics Approach to Aligning Artificial
  Intelligence with Humans
Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans
John J. Nay
ELMAILaw
138
28
0
14 Sep 2022
A learning agent that acquires social norms from public sanctions in
  decentralized multi-agent settings
A learning agent that acquires social norms from public sanctions in decentralized multi-agent settings
Eugene Vinitsky
Raphael Köster
J. Agapiou
Edgar A. Duénez-Guzmán
A. Vezhnevets
Joel Z Leibo
60
40
0
16 Jun 2021
Model-free conventions in multi-agent reinforcement learning with
  heterogeneous preferences
Model-free conventions in multi-agent reinforcement learning with heterogeneous preferences
Raphael Köster
Kevin R. McKee
Richard Everett
Laura Weidinger
William S. Isaac
Edward Hughes
Edgar A. Duénez-Guzmán
T. Graepel
M. Botvinick
Joel Z Leibo
68
23
0
18 Oct 2020
Legible Normativity for AI Alignment: The Value of Silly Rules
Legible Normativity for AI Alignment: The Value of Silly Rules
Dylan Hadfield-Menell
Mckane Andrus
Gillian K. Hadfield
46
20
0
03 Nov 2018
Divide-and-Conquer with Sequential Monte Carlo
Divide-and-Conquer with Sequential Monte Carlo
Fredrik Lindsten
A. M. Johansen
C. A. Naesseth
Bonnie Kirkpatrick
Thomas B. Schon
J. Aston
Alexandre Bouchard-Côté
76
45
0
19 Jun 2014
A Framework for Sequential Planning in Multi-Agent Settings
A Framework for Sequential Planning in Multi-Agent Settings
P. Gmytrasiewicz
Prashant Doshi
91
483
0
09 Sep 2011
1