Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments

10 October 2017

Pieter Abbeel

Papers citing "Continuous Adaptation via Meta-Learning in Nonstationary and Competitive Environments"

26 / 26 papers shown

Title
Advantage Alignment Algorithms Juan Agustin Duque Milad Aghajohari Tim Cooijmans Tianyu Zhang Rameswar Panda Gauthier Gidel Aaron Courville 42 2 0 20 Jun 2024
Online Reinforcement Learning in Non-Stationary Context-Driven Environments Pouya Hamadanian Arash Nasr-Esfahany Malte Schwarzkopf Siddartha Sen MohammadIman Alizadeh CLL OffRL 83 0 0 04 Feb 2023
DiCE: The Infinitely Differentiable Monte-Carlo Estimator Jakob N. Foerster Gregory Farquhar Maruan Al-Shedivat Tim Rocktaschel Eric Xing Shimon Whiteson 32 97 0 14 Feb 2018
Recasting Gradient-Based Meta-Learning as Hierarchical Bayes Erin Grant Chelsea Finn Sergey Levine Trevor Darrell Thomas Griffiths BDL 66 505 0 26 Jan 2018
Emergent Complexity via Multi-Agent Competition Trapit Bansal J. Pachocki Szymon Sidor Ilya Sutskever Igor Mordatch 48 387 0 10 Oct 2017
Learning with Opponent-Learning Awareness Jakob N. Foerster Richard Y. Chen Maruan Al-Shedivat Shimon Whiteson Pieter Abbeel Igor Mordatch 74 536 0 13 Sep 2017
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 234 18,685 0 20 Jul 2017
Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments Ryan J. Lowe Yi Wu Aviv Tamar J. Harb Pieter Abbeel Igor Mordatch 116 4,441 0 07 Jun 2017
Contextual Explanation Networks Maruan Al-Shedivat Kumar Avinava Dubey Eric Xing CML 57 82 0 29 May 2017
Counterfactual Multi-Agent Policy Gradients Jakob N. Foerster Gregory Farquhar Triantafyllos Afouras Nantas Nardelli Shimon Whiteson 54 2,062 0 24 May 2017
Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games Peng Peng Ying Wen Yaodong Yang Quan Yuan Zhenkun Tang Haitao Long Jun Wang 51 334 0 29 Mar 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 213 8,072 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 759 11,793 0 09 Mar 2017
Learning to reinforcement learn Jane X. Wang Z. Kurth-Nelson Dhruva Tirumala Hubert Soyer Joel Z Leibo Rémi Munos Charles Blundell D. Kumaran M. Botvinick OffRL 70 974 0 17 Nov 2016
RL $^2$ : Fast Reinforcement Learning via Slow Reinforcement Learning Yan Duan John Schulman Xi Chen Peter L. Bartlett Ilya Sutskever Pieter Abbeel OffRL 67 1,011 0 09 Nov 2016
Supervision via Competition: Robot Adversaries for Learning Tasks Lerrel Pinto James Davidson Abhinav Gupta SSL 50 82 0 05 Oct 2016
HyperNetworks David R Ha Andrew M. Dai Quoc V. Le 109 1,603 0 27 Sep 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 85 2,000 0 14 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 290 7,299 0 13 Jun 2016
Towards a Neural Statistician Harrison Edwards Amos Storkey BDL 46 428 0 07 Jun 2016
Learning to Optimize Ke Li Jitendra Malik 41 256 0 06 Jun 2016
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 256 1,331 0 05 Jun 2016
High-Dimensional Continuous Control Using Generalized Advantage Estimation John Schulman Philipp Moritz Sergey Levine Michael I. Jordan Pieter Abbeel OffRL 40 3,368 0 08 Jun 2015
End-to-End Training of Deep Visuomotor Policies Sergey Levine Chelsea Finn Trevor Darrell Pieter Abbeel BDL 222 3,418 0 02 Apr 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 239 6,722 0 19 Feb 2015
Robots that can adapt like animals Antoine Cully Jeff Clune Danesh Tarapore Jean-Baptiste Mouret 61 1,032 0 13 Jul 2014