Reinforcement Learning for Improving Agent Design

9 October 2018

Papers citing "Reinforcement Learning for Improving Agent Design"

35 / 35 papers shown

Title
Reinforcement Learning for Efficient Design and Control Co-optimisation of Energy Systems Marine Cauz Adrien Bolland Nicolas Wyrsch Christophe Ballif 45 0 0 28 Jun 2024
DittoGym: Learning to Control Soft Shape-Shifting Robots Suning Huang Boyuan Chen Huazhe Xu Vincent Sitzmann 42 3 0 24 Jan 2024
Codesign of Humanoid Robots for Ergonomy Collaboration with Multiple Humans via Genetic Algorithms and Nonlinear Optimization Carlotta Sartore Lorenzo Rapetti Fabio Bergonti Stefano Dafarra Silvio Traversaro Daniele Pucci 36 5 0 12 Dec 2023
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 53 10 0 28 Aug 2023
EvoTorch: Scalable Evolutionary Computation in Python N. E. Toklu Timothy James Atkinson Vojtvech Micka Paweł Liskowski R. Srivastava 22 12 0 24 Feb 2023
Selecting Mechanical Parameters of a Monopode Jumping System with Reinforcement Learning Andrew S. Albright J. Vaughan 18 1 0 02 Dec 2022
Optimization of Humanoid Robot Designs for Human-Robot Ergonomic Payload Lifting Carlotta Sartore Lorenzo Rapetti Daniele Pucci 30 8 0 24 Nov 2022
Meta Reinforcement Learning for Optimal Design of Legged Robots Álvaro Belmonte-Baeza Joonho Lee Giorgio Valsecchi Marco Hutter 50 17 0 06 Oct 2022
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 79 45 0 16 Sep 2022
Co-Imitation: Learning Design and Behaviour by Imitation C. Rajani Karol Arndt David Blanco Mulero K. Luck Ville Kyrki 26 4 0 02 Sep 2022
Biological Robots: Perspectives on an Emerging Interdisciplinary Field Douglas Blackiston Sam Kriegman Josh Bongard Michael Levin AI4CE 28 25 0 02 Jul 2022
Adversarial Body Shape Search for Legged Robots Takaaki Azakami Hiroshi Kera K. Kawamoto AAML 32 2 0 20 May 2022
Evolving Modular Soft Robots without Explicit Inter-Module Communication using Local Self-Attention F. Pigozzi Yujin Tang Eric Medvet David R Ha 44 22 0 13 Apr 2022
MetaMorph: Learning Universal Controllers with Transformers Agrim Gupta Linxi Fan Surya Ganguli Li Fei-Fei LM&Ro 16 90 0 22 Mar 2022
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer Xingyu Liu Deepak Pathak Kris Kitani 25 19 0 10 Feb 2022
Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer Charles B. Schaff Audrey Sedal Matthew R. Walter 30 26 0 09 Feb 2022
Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots Jagdeep Bhatia Holly Jackson Yunsheng Tian Jie Xu Wojciech Matusik 26 81 0 24 Jan 2022
Collective Intelligence for Deep Learning: A Survey of Recent Developments David R Ha Yu Tang AI4CE 31 69 0 29 Nov 2021
Transform2Act: Learning a Transform-and-Control Policy for Efficient Agent Design Ye Yuan Yuda Song Zhengyi Luo Wen Sun Kris Kitani 27 35 0 07 Oct 2021
A good body is all you need: avoiding catastrophic interference via agent architecture search Joshua P. Powers Ryan Grindle Lapo Frati Josh Bongard 22 1 0 18 Aug 2021
Co-optimising Robot Morphology and Controller in a Simulated Open-Ended Environment Emma Hjellbrekke Stensby K. Ellefsen K. Glette 15 5 0 07 Apr 2021
TeachMyAgent: a Benchmark for Automatic Curriculum Learning in Deep RL Clément Romac Rémy Portelas Katja Hofmann Pierre-Yves Oudeyer 27 21 0 17 Mar 2021
Task-Agnostic Morphology Evolution D. Hejna Pieter Abbeel Lerrel Pinto 30 26 0 25 Feb 2021
Embodied Intelligence via Learning and Evolution Agrim Gupta Silvio Savarese Surya Ganguli Li Fei-Fei AI4CE 22 232 0 03 Feb 2021
Neural fidelity warping for efficient robot morphology design Sha Hu Zeshi Yang Greg Mori 55 4 0 08 Dec 2020
Neuroevolution of Self-Interpretable Agents Yujin Tang Duong Nguyen David R Ha 32 111 0 18 Mar 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 24 169 0 10 Mar 2020
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction C. Freeman Luke Metz David R Ha 33 35 0 29 Oct 2019
Teacher algorithms for curriculum learning of Deep RL in continuously parameterized environments Rémy Portelas Cédric Colas Katja Hofmann Pierre-Yves Oudeyer 32 144 0 16 Oct 2019
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 38 239 0 11 Jun 2019
AI-GAs: AI-generating algorithms, an alternate paradigm for producing general artificial intelligence Jeff Clune 17 116 0 27 May 2019
Lenia - Biology of Artificial Life B. Chan AI4CE 27 61 0 13 Dec 2018
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 65 231 0 02 May 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,331 0 05 Nov 2016
Theoretical foundation for CMA-ES from information geometric perspective Youhei Akimoto Y. Nagata I. Ono S. Kobayashi 57 69 0 04 Jun 2012