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Reinforcement Learning for Improving Agent Design

Reinforcement Learning for Improving Agent Design

9 October 2018
David R Ha
ArXivPDFHTML

Papers citing "Reinforcement Learning for Improving Agent Design"

11 / 11 papers shown
Title
Reinforcement Learning for Efficient Design and Control Co-optimisation
  of Energy Systems
Reinforcement Learning for Efficient Design and Control Co-optimisation of Energy Systems
Marine Cauz
Adrien Bolland
Nicolas Wyrsch
Christophe Ballif
19
0
0
28 Jun 2024
DittoGym: Learning to Control Soft Shape-Shifting Robots
DittoGym: Learning to Control Soft Shape-Shifting Robots
Suning Huang
Boyuan Chen
Huazhe Xu
Vincent Sitzmann
29
3
0
24 Jan 2024
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities:
  Robustness, Safety, and Generalizability
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability
Mengdi Xu
Zuxin Liu
Peide Huang
Wenhao Ding
Zhepeng Cen
Bo-wen Li
Ding Zhao
61
45
0
16 Sep 2022
Biological Robots: Perspectives on an Emerging Interdisciplinary Field
Biological Robots: Perspectives on an Emerging Interdisciplinary Field
Douglas Blackiston
Sam Kriegman
Josh Bongard
Michael Levin
AI4CE
16
25
0
02 Jul 2022
Adversarial Body Shape Search for Legged Robots
Adversarial Body Shape Search for Legged Robots
Takaaki Azakami
Hiroshi Kera
K. Kawamoto
AAML
8
1
0
20 May 2022
Evolving Modular Soft Robots without Explicit Inter-Module Communication
  using Local Self-Attention
Evolving Modular Soft Robots without Explicit Inter-Module Communication using Local Self-Attention
F. Pigozzi
Yujin Tang
Eric Medvet
David R Ha
24
22
0
13 Apr 2022
Embodied Intelligence via Learning and Evolution
Embodied Intelligence via Learning and Evolution
Agrim Gupta
Silvio Savarese
Surya Ganguli
Li Fei-Fei
AI4CE
14
230
0
03 Feb 2021
Lenia - Biology of Artificial Life
Lenia - Biology of Artificial Life
B. Chan
AI4CE
23
59
0
13 Dec 2018
Evolving Mario Levels in the Latent Space of a Deep Convolutional
  Generative Adversarial Network
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
Vanessa Volz
Jacob Schrum
Jialin Liu
Simon Lucas
Adam M. Smith
S. Risi
GAN
65
229
0
02 May 2018
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,290
0
05 Nov 2016
Theoretical foundation for CMA-ES from information geometric perspective
Theoretical foundation for CMA-ES from information geometric perspective
Youhei Akimoto
Y. Nagata
I. Ono
S. Kobayashi
42
69
0
04 Jun 2012
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