Reinforcement Learning for Improving Agent Design

9 October 2018

Papers citing "Reinforcement Learning for Improving Agent Design"

28 / 28 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
Reinforcement Learning for Generative AI: A Survey Yuanjiang Cao Quan.Z Sheng Julian McAuley Lina Yao SyDa 46 10 0 28 Aug 2023
EvoTorch: Scalable Evolutionary Computation in Python N. E. Toklu Timothy James Atkinson Vojtvech Micka Paweł Liskowski R. Srivastava 19 12 0 24 Feb 2023
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 40 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 74 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 23 25 0 02 Jul 2022
Adversarial Body Shape Search for Legged Robots Takaaki Azakami Hiroshi Kera K. Kawamoto AAML 19 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 39 22 0 13 Apr 2022
MetaMorph: Learning Universal Controllers with Transformers Agrim Gupta Linxi Fan Surya Ganguli Li Fei-Fei LM&Ro 11 86 0 22 Mar 2022
REvolveR: Continuous Evolutionary Models for Robot-to-robot Policy Transfer Xingyu Liu Deepak Pathak Kris M. Kitani 23 19 0 10 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
A good body is all you need: avoiding catastrophic interference via agent architecture search Joshua P. Powers Ryan Grindle Lapo Frati Josh Bongard 17 1 0 18 Aug 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 22 230 0 03 Feb 2021
Neural fidelity warping for efficient robot morphology design Sha Hu Zeshi Yang Greg Mori 55 4 0 08 Dec 2020
Automatic Curriculum Learning For Deep RL: A Short Survey Rémy Portelas Cédric Colas Lilian Weng Katja Hofmann Pierre-Yves Oudeyer ODL 19 167 0 10 Mar 2020
Learning to Predict Without Looking Ahead: World Models Without Forward Prediction C. Freeman Luke Metz David R Ha 30 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 24 143 0 16 Oct 2019
Weight Agnostic Neural Networks Adam Gaier David R Ha OOD 35 239 0 11 Jun 2019
Lenia - Biology of Artificial Life B. Chan AI4CE 25 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 65 230 0 02 May 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 271 5,327 0 05 Nov 2016
Theoretical foundation for CMA-ES from information geometric perspective Youhei Akimoto Y. Nagata I. Ono S. Kobayashi 52 69 0 04 Jun 2012