Meta-Gradient Reinforcement Learning

24 May 2018

David Silver

Papers citing "Meta-Gradient Reinforcement Learning"

50 / 203 papers shown

Title
Mean-Variance Policy Iteration for Risk-Averse Reinforcement Learning Shangtong Zhang Bo Liu Shimon Whiteson 29 38 0 22 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 61 1,935 0 11 Apr 2020
Online Meta-Learning for Multi-Source and Semi-Supervised Domain Adaptation Da Li Timothy M. Hospedales 22 102 0 09 Apr 2020
Work in Progress: Temporally Extended Auxiliary Tasks Craig Sherstan Bilal Kartal Pablo Hernandez-Leal Matthew E. Taylor 10 1 0 01 Apr 2020
Agent57: Outperforming the Atari Human Benchmark Adria Puigdomenech Badia Bilal Piot Steven Kapturowski Pablo Sprechmann Alex Vitvitskyi Daniel Guo Charles Blundell OffRL 18 509 0 30 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
Finding online neural update rules by learning to remember Karol Gregor CLL 39 268 0 06 Mar 2020
A Self-Tuning Actor-Critic Algorithm Tom Zahavy Zhongwen Xu Vivek Veeriah Matteo Hessel Junhyuk Oh H. V. Hasselt David Silver Satinder Singh 18 13 0 28 Feb 2020
Never Give Up: Learning Directed Exploration Strategies Adria Puigdomenech Badia Pablo Sprechmann Alex Vitvitskyi Daniel Guo Bilal Piot ... O. Tieleman Martín Arjovsky Alexander Pritzel Andew Bolt Charles Blundell 23 290 0 14 Feb 2020
HMRL: Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem Yun Hua Xiangfeng Wang Bo Jin Wenhao Li Junchi Yan Xiaofeng He H. Zha OffRL 13 9 0 11 Feb 2020
Reward Tweaking: Maximizing the Total Reward While Planning for Short Horizons Chen Tessler Shie Mannor 25 2 0 09 Feb 2020
Deep Radial-Basis Value Functions for Continuous Control Kavosh Asadi Neev Parikh Ronald E. Parr George Konidaris Michael L. Littman 15 4 0 05 Feb 2020
Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation Byung Hoon Ahn Prannoy Pilligundla Amir Yazdanbakhsh H. Esmaeilzadeh ODL 61 80 0 23 Jan 2020
How Should an Agent Practice? Janarthanan Rajendran Richard L. Lewis Vivek Veeriah Honglak Lee Satinder Singh 26 9 0 15 Dec 2019
Adapting Behaviour for Learning Progress Tom Schaul Diana Borsa David Ding David Szepesvari Georg Ostrovski Will Dabney Simon Osindero 14 18 0 14 Dec 2019
What Can Learned Intrinsic Rewards Capture? Zeyu Zheng Junhyuk Oh Matteo Hessel Zhongwen Xu M. Kroiss H. V. Hasselt David Silver Satinder Singh 23 77 0 11 Dec 2019
BADGER: Learning to (Learn [Learning Algorithms] through Multi-Agent Communication) Marek Rosa O. Afanasjeva Simon Andersson Joseph Davidson N. Guttenberg Petr Hlubucek Martin Poliak Jaroslav Vítků Jan Feyereisl 22 10 0 03 Dec 2019
Gamma-Nets: Generalizing Value Estimation over Timescale Craig Sherstan Shibhansh Dohare J. MacGlashan J. Günther P. Pilarski 19 12 0 18 Nov 2019
Context-aware Active Multi-Step Reinforcement Learning Gang Chen Dingcheng Li Ran Xu 6 0 0 11 Nov 2019
When MAML Can Adapt Fast and How to Assist When It Cannot Sébastien M. R. Arnold Shariq Iqbal Fei Sha 17 5 0 30 Oct 2019
Meta Matrix Factorization for Federated Rating Predictions Yujie Lin Pengjie Ren Zhumin Chen Z. Ren Dongxiao Yu Jun Ma Maarten de Rijke Xiuzhen Cheng 20 115 0 22 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
Off-Policy Actor-Critic with Shared Experience Replay Simon Schmitt Matteo Hessel Karen Simonyan OffRL 27 68 0 25 Sep 2019
MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning Raghunandan Rajan Jessica Lizeth Borja Diaz Suresh Guttikonda Fabio Ferreira André Biedenkapp Jan Ole von Hartz Frank Hutter 33 3 0 17 Sep 2019
Discovery of Useful Questions as Auxiliary Tasks Vivek Veeriah Matteo Hessel Zhongwen Xu Richard L. Lewis Janarthanan Rajendran Junhyuk Oh H. V. Hasselt David Silver Satinder Singh LLMAG 14 86 0 10 Sep 2019
Parameterized Exploration Jesse Clifton Lili Wu E. Laber 34 0 0 13 Jul 2019
General non-linear Bellman equations H. V. Hasselt John Quan Matteo Hessel Zhongwen Xu Diana Borsa André Barreto 16 14 0 08 Jul 2019
On Inductive Biases in Deep Reinforcement Learning Matteo Hessel H. V. Hasselt Joseph Modayil David Silver AI4CE 25 41 0 05 Jul 2019
Hyp-RL : Hyperparameter Optimization by Reinforcement Learning H. Jomaa Josif Grabocka Lars Schmidt-Thieme 25 65 0 27 Jun 2019
Experience Replay Optimization Daochen Zha Kwei-Herng Lai Kaixiong Zhou Xia Hu OffRL 11 102 0 19 Jun 2019
Meta-Learning via Learned Loss Sarah Bechtle Artem Molchanov Yevgen Chebotar Edward Grefenstette Ludovic Righetti Gaurav Sukhatme Franziska Meier 20 110 0 12 Jun 2019
Lifelong Learning with a Changing Action Set Yash Chandak Georgios Theocharous Chris Nota Philip S. Thomas CLL OffRL 11 29 0 05 Jun 2019
Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation Byung Hoon Ahn Prannoy Pilligundla H. Esmaeilzadeh 13 20 0 30 May 2019
Beyond Exponentially Discounted Sum: Automatic Learning of Return Function Yufei Wang Qiwei Ye Tie-Yan Liu OffRL 9 15 0 28 May 2019
Learning Efficient and Effective Exploration Policies with Counterfactual Meta Policy Ruihan Yang Qiwei Ye Tie-Yan Liu 20 0 0 28 May 2019
Meta Reinforcement Learning with Task Embedding and Shared Policy Lin Lan Zhenguo Li X. Guan P. Wang OffRL 8 50 0 16 May 2019
Meta-learning of Sequential Strategies Pedro A. Ortega Jane X. Wang Mark Rowland Tim Genewein Z. Kurth-Nelson ... Yee Whye Teh H. V. Hasselt Nando de Freitas M. Botvinick Shane Legg OffRL 25 96 0 08 May 2019
Efficient Off-Policy Meta-Reinforcement Learning via Probabilistic Context Variables Kate Rakelly Aurick Zhou Deirdre Quillen Chelsea Finn Sergey Levine OffRL 36 647 0 19 Mar 2019
Learning Feature Relevance Through Step Size Adaptation in Temporal-Difference Learning Alex Kearney Vivek Veeriah Jaden B. Travnik P. Pilarski R. Sutton OOD 9 13 0 08 Mar 2019
Learning to Generalize from Sparse and Underspecified Rewards Rishabh Agarwal Chen Liang Dale Schuurmans Mohammad Norouzi OffRL 49 97 0 19 Feb 2019
Hyperbolic Discounting and Learning over Multiple Horizons W. Fedus Carles Gelada Yoshua Bengio Marc G. Bellemare Hugo Larochelle 29 105 0 19 Feb 2019
Fast Efficient Hyperparameter Tuning for Policy Gradients Supratik Paul Vitaly Kurin Shimon Whiteson 22 32 0 18 Feb 2019
Separating value functions across time-scales Joshua Romoff Peter Henderson Ahmed Touati Emma Brunskill Joelle Pineau Yann Ollivier 17 25 0 05 Feb 2019
Feature-Critic Networks for Heterogeneous Domain Generalization Yiying Li Yongxin Yang Wei Zhou Timothy M. Hospedales OOD 25 253 0 31 Jan 2019
SNAS: Stochastic Neural Architecture Search Sirui Xie Hehui Zheng Chunxiao Liu Liang Lin 11 931 0 24 Dec 2018
Continual Match Based Training in Pommerman: Technical Report Peng Peng Liang Pang Yufeng Yuan Chao Gao CLL 6 12 0 18 Dec 2018
ProMP: Proximal Meta-Policy Search Jonas Rothfuss Dennis Lee I. Clavera Tamim Asfour Pieter Abbeel 27 209 0 16 Oct 2018
Deep Reinforcement Learning Yuxi Li VLM OffRL 28 144 0 15 Oct 2018
RUDDER: Return Decomposition for Delayed Rewards Jose A. Arjona-Medina Michael Gillhofer Michael Widrich Thomas Unterthiner Johannes Brandstetter Sepp Hochreiter 30 212 0 20 Jun 2018