Learning to Learn: Meta-Critic Networks for Sample Efficient Learning

Learning to Learn: Meta-Critic Networks for Sample Efficient Learning

29 June 2017

Li Zhang

Timothy M. Hospedales

Papers citing "Learning to Learn: Meta-Critic Networks for Sample Efficient Learning"

17 / 17 papers shown

Title
Effective Regularization Through Loss-Function Metalearning Santiago Gonzalez Risto Miikkulainen 56 5 0 02 Oct 2020
Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling Russell Mendonca Xinyang Geng Chelsea Finn Sergey Levine OOD OffRL 67 40 0 12 Jun 2020
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 45 2,053 0 24 May 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 748 11,793 0 09 Mar 2017
Generalizing Skills with Semi-Supervised Reinforcement Learning Chelsea Finn Tianhe Yu Justin Fu Pieter Abbeel Sergey Levine OffRL SSL 46 68 0 01 Dec 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 59 1,011 0 09 Nov 2016
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 100 1,603 0 27 Sep 2016
Learning feed-forward one-shot learners Luca Bertinetto João F. Henriques Jack Valmadre Philip Torr Andrea Vedaldi 48 470 0 16 Jun 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 74 2,000 0 14 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 264 7,286 0 13 Jun 2016
Learning to Optimize Ke Li Jitendra Malik 38 256 0 06 Jun 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 157 8,805 0 04 Feb 2016
Actor-Mimic: Deep Multitask and Transfer Reinforcement Learning Emilio Parisotto Jimmy Lei Ba Ruslan Salakhutdinov OffRL 58 594 0 19 Nov 2015
Continuous control with deep reinforcement learning Timothy Lillicrap Jonathan J. Hunt Alexander Pritzel N. Heess Tom Erez Yuval Tassa David Silver Daan Wierstra 168 13,174 0 09 Sep 2015
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 35 3,368 0 08 Jun 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 175 19,448 0 09 Mar 2015
Learning Parameterized Skills Bruno C. da Silva George Konidaris A. Barto 70 207 0 27 Jun 2012