Evolved Policy Gradients

13 February 2018

Pieter Abbeel

Papers citing "Evolved Policy Gradients"

50 / 160 papers shown

Title
Meta-Gradient Reinforcement Learning with an Objective Discovered Online Zhongwen Xu H. V. Hasselt Matteo Hessel Junhyuk Oh Satinder Singh David Silver 11 77 0 16 Jul 2020
Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes Mengdi Xu Wenhao Ding Jiacheng Zhu Zuxin Liu Baiming Chen Ding Zhao CLL OffRL 26 34 0 19 Jun 2020
Open Questions in Creating Safe Open-ended AI: Tensions Between Control and Creativity Adrien Ecoffet Jeff Clune Joel Lehman 19 16 0 12 Jun 2020
A Brief Look at Generalization in Visual Meta-Reinforcement Learning Safa Alver Doina Precup OffRL 12 9 0 12 Jun 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling Russell Mendonca Xinyang Geng Chelsea Finn Sergey Levine OOD OffRL 32 41 0 12 Jun 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 46 1,928 0 11 Apr 2020
Editable Neural Networks A. Sinitsin Vsevolod Plokhotnyuk Dmitriy V. Pyrkin Sergei Popov Artem Babenko KELM 60 175 0 01 Apr 2020
GPS-Net: Graph Property Sensing Network for Scene Graph Generation Xin Lin Changxing Ding Jinquan Zeng Dacheng Tao 35 277 0 29 Mar 2020
When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey Chongzhen Zhang Jianrui Wang Gary G. Yen Chaoqiang Zhao Qiyu Sun Yang Tang Feng Qian Jürgen Kurths AAML 31 20 0 29 Mar 2020
Online Meta-Critic Learning for Off-Policy Actor-Critic Methods Wei Zhou Yiying Li Yongxin Yang Huaimin Wang Timothy M. Hospedales OffRL 30 46 0 11 Mar 2020
Meta-learning curiosity algorithms Ferran Alet Martin Schneider Tomas Lozano-Perez L. Kaelbling 25 63 0 11 Mar 2020
Learning State-Dependent Losses for Inverse Dynamics Learning Kristen Morse Neha Das Yixin Lin Austin S. Wang Akshara Rai Franziska Meier AI4CE 14 6 0 10 Mar 2020
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch Esteban Real Chen Liang David R. So Quoc V. Le 39 220 0 06 Mar 2020
Rapidly Adaptable Legged Robots via Evolutionary Meta-Learning Xingyou Song Yuxiang Yang K. Choromanski Ken Caluwaerts Wenbo Gao Chelsea Finn Jie Tan 112 79 0 02 Mar 2020
Gaussian Process Policy Optimization Anand Srinivasa Rao Bidipta Sarkar Tejas Narayanan GP 9 0 0 02 Mar 2020
Accelerating Reinforcement Learning with a Directional-Gaussian-Smoothing Evolution Strategy Jiaxing Zhang Hoang Tran Guannan Zhang 6 9 0 21 Feb 2020
Effective Reinforcement Learning through Evolutionary Surrogate-Assisted Prescription Olivier Francon Santiago Gonzalez B. Hodjat Elliot Meyerson Risto Miikkulainen Xin Qiu H. Shahrzad 18 16 0 13 Feb 2020
Regularized Evolutionary Population-Based Training J. Liang Santiago Gonzalez H. Shahrzad Risto Miikkulainen 14 9 0 11 Feb 2020
A Novel Evolution Strategy with Directional Gaussian Smoothing for Blackbox Optimization Jiaxin Zhang Hoang Tran Dan Lu Guannan Zhang 19 17 0 07 Feb 2020
Augmented Replay Memory in Reinforcement Learning With Continuous Control Mirza Ramicic Andrea Bonarini KELM CLL OffRL 18 1 0 29 Dec 2019
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data F. Such Aditya Rawal Joel Lehman Kenneth O. Stanley Jeff Clune DD 19 154 0 17 Dec 2019
Unsupervised Curricula for Visual Meta-Reinforcement Learning Allan Jabri Kyle Hsu Benjamin Eysenbach Abhishek Gupta Sergey Levine Chelsea Finn VLM OOD SSL OffRL 19 64 0 09 Dec 2019
VIABLE: Fast Adaptation via Backpropagating Learned Loss Leo Feng L. Zintgraf Bei Peng Shimon Whiteson 15 1 0 29 Nov 2019
Merging Deterministic Policy Gradient Estimations with Varied Bias-Variance Tradeoff for Effective Deep Reinforcement Learning Gang Chen 20 4 0 24 Nov 2019
Meta Adaptation using Importance Weighted Demonstrations Kiran Lekkala Sami Abu-El-Haija Laurent Itti 17 2 0 23 Nov 2019
Bottom-Up Meta-Policy Search L. Melo Marcos R. O. A. Máximo A. Cunha 31 6 0 22 Oct 2019
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning L. Zintgraf K. Shiarlis Maximilian Igl Sebastian Schulze Y. Gal Katja Hofmann Shimon Whiteson OffRL 6 272 0 18 Oct 2019
Improving Gradient Estimation in Evolutionary Strategies With Past Descent Directions Florian Meier Asier Mujika M. Gauy Angelika Steger 7 16 0 11 Oct 2019
Improving Generalization in Meta Reinforcement Learning using Learned Objectives Louis Kirsch Sjoerd van Steenkiste Jürgen Schmidhuber OffRL 14 118 0 09 Oct 2019
Meta-Q-Learning Rasool Fakoor Pratik Chaudhari Stefano Soatto Alex Smola OffRL 19 145 0 30 Sep 2019
Learning Fast Adaptation with Meta Strategy Optimization Wenhao Yu Jie Tan Yunfei Bai Erwin Coumans Sehoon Ha 28 92 0 28 Sep 2019
A review on Deep Reinforcement Learning for Fluid Mechanics Paul Garnier J. Viquerat Jean Rabault A. Larcher A. Kuhnle E. Hachem AI4CE 16 253 0 12 Aug 2019
Self-Attentional Credit Assignment for Transfer in Reinforcement Learning Johan Ferret Raphaël Marinier M. Geist Olivier Pietquin OffRL 21 6 0 18 Jul 2019
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum George Konidaris 30 356 0 06 Jul 2019
Meta-Learning via Learned Loss Sarah Bechtle Artem Molchanov Yevgen Chebotar Edward Grefenstette Ludovic Righetti Gaurav Sukhatme Franziska Meier 18 110 0 12 Jun 2019
Using learned optimizers to make models robust to input noise Luke Metz Niru Maheswaranathan Jonathon Shlens Jascha Narain Sohl-Dickstein E. D. Cubuk VLM OOD 15 26 0 08 Jun 2019
Watch, Try, Learn: Meta-Learning from Demonstrations and Reward Allan Zhou Eric Jang Daniel Kappler Alexander Herzog Mohi Khansari Paul Wohlhart Yunfei Bai Mrinal Kalakrishnan Sergey Levine Chelsea Finn 23 50 0 07 Jun 2019
Sequence Modeling of Temporal Credit Assignment for Episodic Reinforcement Learning Yang Liu Yunan Luo Yuanyi Zhong Xi Chen Qiang Liu Jian-wei Peng 11 35 0 31 May 2019
Improved Training Speed, Accuracy, and Data Utilization Through Loss Function Optimization Santiago Gonzalez Risto Miikkulainen 17 75 0 27 May 2019
Learning to learn via Self-Critique Antreas Antoniou Amos Storkey SSL 23 17 0 24 May 2019
Meta Reinforcement Learning with Task Embedding and Shared Policy Lin Lan Zhenguo Li X. Guan P. Wang OffRL 6 50 0 16 May 2019
Edge-labeling Graph Neural Network for Few-shot Learning Jongmin Kim Taesup Kim Sungwoong Kim Chang D. Yoo 19 452 0 04 May 2019
Multitask Soft Option Learning Maximilian Igl Andrew Gambardella Jinke He Nantas Nardelli N. Siddharth Wendelin Bohmer Shimon Whiteson 14 26 0 01 Apr 2019
Guided Meta-Policy Search Russell Mendonca Abhishek Gupta Rosen Kralev Pieter Abbeel Sergey Levine Chelsea Finn 17 57 0 01 Apr 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 22 647 0 19 Mar 2019
From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization K. Choromanski Aldo Pacchiano Jack Parker-Holder Yunhao Tang 10 1 0 07 Mar 2019
NoRML: No-Reward Meta Learning Yuxiang Yang Ken Caluwaerts Atil Iscen Jie Tan Chelsea Finn 14 27 0 04 Mar 2019
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning Mitchell Wortsman Kiana Ehsani Mohammad Rastegari Ali Farhadi Roozbeh Mottaghi SSL 22 222 0 03 Dec 2018
Evolving intrinsic motivations for altruistic behavior Jane X. Wang Edward Hughes Chrisantha Fernando Wojciech M. Czarnecki Edgar A. Duénez-Guzmán Joel Z Leibo 19 76 0 14 Nov 2018
Importance Weighted Evolution Strategies Victor Campos Xavier Giró-i-Nieto Jordi Torres 11 1 0 12 Nov 2018