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1802.04821
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Evolved Policy Gradients
13 February 2018
Rein Houthooft
Richard Y. Chen
Phillip Isola
Bradly C. Stadie
Filip Wolski
Jonathan Ho
Pieter Abbeel
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Papers citing
"Evolved Policy Gradients"
50 / 158 papers shown
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Adam on Local Time: Addressing Nonstationarity in RL with Relative Adam Timesteps
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Task-driven Image Fusion with Learnable Fusion Loss
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Zixiang Zhao
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Black box meta-learning intrinsic rewards for sparse-reward environments
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31 Jul 2024
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Chris Xiaoxuan Lu
Jarek Liesen
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Gokul Swamy
Chris Xiaoxuan Lu
Yee Whye Teh
Jakob Nicolaus Foerster
209
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15 Jun 2024
Discovering Preference Optimization Algorithms with and for Large Language Models
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Samuel Holt
Claudio Fanconi
Alex J. Chan
Jakob Foerster
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R. T. Lange
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325
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12 Jun 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning
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340
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18 May 2024
Fast and Efficient Local Search for Genetic Programming Based Loss Function Learning
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Qi Chen
Bing Xue
Mengjie Zhang
353
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Evolutionary Reinforcement Learning: A Systematic Review and Future Directions
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Fan Lin
Guorong Cai
Hong Chen
Lixin Zou
Pengcheng Wu
221
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20 Feb 2024
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Chris Xiaoxuan Lu
Louis Kirsch
R. T. Lange
Shimon Whiteson
Jakob N. Foerster
325
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08 Feb 2024
Learning mirror maps in policy mirror descent
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Sebastian Towers
Silvia Sapora
Chris Xiaoxuan Lu
Patrick Rebeschini
302
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07 Feb 2024
ReFusion: Learning Image Fusion from Reconstruction with Learnable Loss via Meta-Learning
International Journal of Computer Vision (IJCV), 2023
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Zixiang Zhao
Jiangshe Zhang
Yichen Wu
Lilun Deng
Yukun Cui
Shuang Xu
Baisong Jiang
421
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13 Dec 2023
Adapt On-the-Go: Behavior Modulation for Single-Life Robot Deployment
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Govind Chada
Laura M. Smith
Archit Sharma
Zipeng Fu
Sergey Levine
Chelsea Finn
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02 Nov 2023
A Survey on Knowledge Editing of Neural Networks
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Alessandro Pedrani
Andrea Caciolai
Kay Rottmann
Davide Bernardi
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30 Oct 2023
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Rwik Rana
Kevin Huang
Alex Spitzer
Guanya Shi
Byron Boots
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06 Oct 2023
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design
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Matthew Jackson
Minqi Jiang
Jack Parker-Holder
Risto Vuorio
Chris Xiaoxuan Lu
Gregory Farquhar
Shimon Whiteson
Jakob N. Foerster
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245
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AdaptNet: Policy Adaptation for Physics-Based Character Control
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Pei Xu
Kaixiang Xie
Sheldon Andrews
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Michael Neff
Morgan McGuire
Ioannis Karamouzas
Victor Zordan
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455
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30 Sep 2023
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Rex G Liu
Drew Linsley
A. Ashok
Max Reuter
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Thomas Serre
OffRL
184
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22 Sep 2023
Fine-grained Recognition with Learnable Semantic Data Augmentation
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Yifan Pu
Yizeng Han
Yulin Wang
Junlan Feng
Chao Deng
Gao Huang
325
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01 Sep 2023
BiERL: A Meta Evolutionary Reinforcement Learning Framework via Bilevel Optimization
European Conference on Artificial Intelligence (ECAI), 2023
Junyi Wang
Yuanyang Zhu
Zhi Wang
Yan Zheng
Jianye Hao
Chun-Han Chen
OffRL
159
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01 Aug 2023
Acceleration in Policy Optimization
Veronica Chelu
Tom Zahavy
A. Guez
Doina Precup
Sebastian Flennerhag
339
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18 Jun 2023
Empowering NLG: Offline Reinforcement Learning for Informal Summarization in Online Domains
Zhiwei Tai
Po-Chuan Chen
OffRL
189
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17 Jun 2023
Fast Context Adaptation in Cost-Aware Continual Learning
IEEE Transactions on Machine Learning in Communications and Networking (IEEE TMLCN), 2023
Seyyidahmed Lahmer
Federico Mason
Federico Chiariotti
Andrea Zanella
194
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06 Jun 2023
Efficient automatic design of robots
Proceedings of the National Academy of Sciences of the United States of America (PNAS), 2023
David Matthews
Andrew Spielberg
Daniela Rus
Sam Kriegman
Josh Bongard
174
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05 Jun 2023
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Xiang Yuan
Deyu Meng
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335
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13 May 2023
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Gilles Louppe
D. Ernst
303
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Structured State Space Models for In-Context Reinforcement Learning
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Chris Xiaoxuan Lu
Yannick Schroecker
Albert Gu
Emilio Parisotto
Jakob N. Foerster
Satinder Singh
Feryal M. P. Behbahani
AI4TS
554
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07 Mar 2023
Evolutionary Reinforcement Learning: A Survey
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Hui Bai
Ran Cheng
Yaochu Jin
OffRL
480
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07 Mar 2023
Unsupervised Meta-Learning via Few-shot Pseudo-supervised Contrastive Learning
International Conference on Learning Representations (ICLR), 2023
Huiwon Jang
Hankook Lee
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VLM
SSL
228
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02 Mar 2023
Hebbian and Gradient-based Plasticity Enables Robust Memory and Rapid Learning in RNNs
International Conference on Learning Representations (ICLR), 2023
Y. Duan
Zhongfan Jia
Qian Li
Yi Zhong
Kaisheng Ma
AAML
233
4
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07 Feb 2023
Learning to Optimize for Reinforcement Learning
Qingfeng Lan
Rupam Mahmood
Shuicheng Yan
Zhongwen Xu
OffRL
455
10
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03 Feb 2023
Rewarded meta-pruning: Meta Learning with Rewards for Channel Pruning
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Abhishek Kumar
Heechul Jung
Dong-Gyu Lee
217
2
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26 Jan 2023
AutoCost: Evolving Intrinsic Cost for Zero-violation Reinforcement Learning
AAAI Conference on Artificial Intelligence (AAAI), 2023
Tairan He
Weiye Zhao
Changliu Liu
OffRL
225
21
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24 Jan 2023
General-Purpose In-Context Learning by Meta-Learning Transformers
Louis Kirsch
James Harrison
Jascha Narain Sohl-Dickstein
Luke Metz
436
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08 Dec 2022
Implicit Training of Energy Model for Structure Prediction
Shiv Shankar
Vihari Piratla
214
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21 Nov 2022
Simple Emergent Action Representations from Multi-Task Policy Training
International Conference on Learning Representations (ICLR), 2022
Pu Hua
Yubei Chen
Huazhe Xu
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206
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18 Oct 2022
Reinforcement Learning with Automated Auxiliary Loss Search
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Tairan He
Yuge Zhang
Kan Ren
Minghuan Liu
Che Wang
Weinan Zhang
Yuqing Yang
Dongsheng Li
295
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Discovered Policy Optimisation
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J. Kuba
Alistair Letcher
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Christian Schroeder de Witt
Jakob N. Foerster
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364
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Qi Chen
Bing Xue
Mengjie Zhang
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258
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Learning to learn online with neuromodulated synaptic plasticity in spiking neural networks
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Samuel Schmidgall
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331
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Robust Task Representations for Offline Meta-Reinforcement Learning via Contrastive Learning
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231
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A Survey on Model-based Reinforcement Learning
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Hang Lai
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Yang Yu
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Pieter Abbeel
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J. P. Sahoo
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392
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Yingjie Miao
John D. Co-Reyes
Aaron T Parisi
Jie Tan
Esteban Real
Aleksandra Faust
251
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Ludovic Righetti
Franziska Meier
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Thomas Serre
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249
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