ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2001.09318
  4. Cited By
Silly rules improve the capacity of agents to learn stable enforcement
  and compliance behaviors

Silly rules improve the capacity of agents to learn stable enforcement and compliance behaviors

25 January 2020
Raphael Köster
Dylan Hadfield-Menell
Gillian K. Hadfield
Joel Z Leibo
ArXivPDFHTML

Papers citing "Silly rules improve the capacity of agents to learn stable enforcement and compliance behaviors"

2 / 2 papers shown
Title
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
14
20
0
03 Nov 2018
IMPALA: Scalable Distributed Deep-RL with Importance Weighted
  Actor-Learner Architectures
IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures
L. Espeholt
Hubert Soyer
Rémi Munos
Karen Simonyan
Volodymyr Mnih
...
Vlad Firoiu
Tim Harley
Iain Dunning
Shane Legg
Koray Kavukcuoglu
114
1,584
0
05 Feb 2018
1