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Designing a Multi-Objective Reward Function for Creating Teams of
  Robotic Bodyguards Using Deep Reinforcement Learning

Designing a Multi-Objective Reward Function for Creating Teams of Robotic Bodyguards Using Deep Reinforcement Learning

28 January 2019
Hassam Sheikh
Ladislau Bölöni
ArXiv (abs)PDFHTML

Papers citing "Designing a Multi-Objective Reward Function for Creating Teams of Robotic Bodyguards Using Deep Reinforcement Learning"

4 / 4 papers shown
Title
Variance Reduction for Policy Gradient with Action-Dependent Factorized
  Baselines
Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines
Cathy Wu
Aravind Rajeswaran
Yan Duan
Vikash Kumar
Alexandre M. Bayen
Sham Kakade
Igor Mordatch
Pieter Abbeel
OffRL
66
153
0
20 Mar 2018
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using
  End-To-End Learning from Demonstration
Vision-Based Multi-Task Manipulation for Inexpensive Robots Using End-To-End Learning from Demonstration
Rouhollah Rahmatizadeh
P. Abolghasemi
Ladislau Bölöni
Sergey Levine
100
258
0
10 Jul 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments
Ryan J. Lowe
Yi Wu
Aviv Tamar
J. Harb
Pieter Abbeel
Igor Mordatch
162
4,509
0
07 Jun 2017
Emergence of Grounded Compositional Language in Multi-Agent Populations
Emergence of Grounded Compositional Language in Multi-Agent Populations
Igor Mordatch
Pieter Abbeel
LLMAG
139
704
0
15 Mar 2017
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