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. 1812.07019
  4. Cited By
Malthusian Reinforcement Learning

Malthusian Reinforcement Learning

17 December 2018
Joel Z Leibo
Julien Perolat
Edward Hughes
S. Wheelwright
Adam H. Marblestone
Edgar A. Duénez-Guzmán
P. Sunehag
Iain Dunning
T. Graepel
    AI4CE
ArXivPDFHTML

Papers citing "Malthusian Reinforcement Learning"

10 / 10 papers shown
Title
Fairness Aware Reinforcement Learning via Proximal Policy Optimization
Fairness Aware Reinforcement Learning via Proximal Policy Optimization
Gabriele La Malfa
Jie M. Zhang
Michael Luck
Elizabeth Black
69
0
0
06 Feb 2025
A social path to human-like artificial intelligence
A social path to human-like artificial intelligence
Edgar A. Duénez-Guzmán
Suzanne Sadedin
Jane X. Wang
Kevin R. McKee
Joel Z Leibo
GNN
31
28
0
22 May 2024
Diversity Through Exclusion (DTE): Niche Identification for
  Reinforcement Learning through Value-Decomposition
Diversity Through Exclusion (DTE): Niche Identification for Reinforcement Learning through Value-Decomposition
P. Sunehag
A. Vezhnevets
Edgar A. Duénez-Guzmán
Igor Mordach
Joel Z Leibo
26
2
0
02 Feb 2023
Melting Pot 2.0
Melting Pot 2.0
J. Agapiou
A. Vezhnevets
Edgar A. Duénez-Guzmán
Jayd Matyas
Yiran Mao
...
Sukhdeep Singh
Julia Haas
Igor Mordatch
D. Mobbs
Joel Z Leibo
27
31
0
24 Nov 2022
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via
  Learned Messaging
HAMMER: Multi-Level Coordination of Reinforcement Learning Agents via Learned Messaging
Nikunj Gupta
G. Srinivasaraghavan
S. Mohalik
Nishant Kumar
Matthew E. Taylor
21
15
0
18 Jan 2021
Grounding Artificial Intelligence in the Origins of Human Behavior
Grounding Artificial Intelligence in the Origins of Human Behavior
Eleni Nisioti
Clément Moulin-Frier
AI4CE
39
5
0
15 Dec 2020
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
24
22
0
18 Oct 2020
Multi-Path Policy Optimization
Multi-Path Policy Optimization
L. Pan
Qingpeng Cai
Longbo Huang
18
2
0
11 Nov 2019
Autocurricula and the Emergence of Innovation from Social Interaction: A
  Manifesto for Multi-Agent Intelligence Research
Autocurricula and the Emergence of Innovation from Social Interaction: A Manifesto for Multi-Agent Intelligence Research
Joel Z Leibo
Edward Hughes
Marc Lanctot
T. Graepel
22
105
0
02 Mar 2019
A Survey and Critique of Multiagent Deep Reinforcement Learning
A Survey and Critique of Multiagent Deep Reinforcement Learning
Pablo Hernandez-Leal
Bilal Kartal
Matthew E. Taylor
OffRL
32
550
0
12 Oct 2018
1