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Distral: Robust Multitask Reinforcement Learning

Distral: Robust Multitask Reinforcement Learning

13 July 2017
Yee Whye Teh
V. Bapst
Wojciech M. Czarnecki
John Quan
J. Kirkpatrick
R. Hadsell
N. Heess
Razvan Pascanu
ArXivPDFHTML

Papers citing "Distral: Robust Multitask Reinforcement Learning"

50 / 126 papers shown
Title
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration
Interesting Object, Curious Agent: Learning Task-Agnostic Exploration
Simone Parisi
Victoria Dean
Deepak Pathak
Abhinav Gupta
LM&Ro
38
50
0
25 Nov 2021
Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless
  Cellular Networks
Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks
Fatemeh Lotfi
Omid Semiari
Walid Saad
19
27
0
23 Nov 2021
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task
  Learning
Generalization in Dexterous Manipulation via Geometry-Aware Multi-Task Learning
Wenlong Huang
Igor Mordatch
Pieter Abbeel
Deepak Pathak
34
63
0
04 Nov 2021
Towards an Understanding of Default Policies in Multitask Policy
  Optimization
Towards an Understanding of Default Policies in Multitask Policy Optimization
Theodore H. Moskovitz
Michael Arbel
Jack Parker-Holder
Aldo Pacchiano
22
9
0
04 Nov 2021
Conflict-Averse Gradient Descent for Multi-task Learning
Conflict-Averse Gradient Descent for Multi-task Learning
Bo Liu
Xingchao Liu
Xiaojie Jin
Peter Stone
Qiang Liu
47
297
0
26 Oct 2021
Block Contextual MDPs for Continual Learning
Block Contextual MDPs for Continual Learning
Shagun Sodhani
Franziska Meier
Joelle Pineau
Amy Zhang
CLL
28
25
0
13 Oct 2021
Learning Multi-Objective Curricula for Robotic Policy Learning
Learning Multi-Objective Curricula for Robotic Policy Learning
Jikun Kang
Miao Liu
Abhinav Gupta
C. Pal
Xue Liu
Jie Fu
34
4
0
06 Oct 2021
Compositional Q-learning for electrolyte repletion with imbalanced
  patient sub-populations
Compositional Q-learning for electrolyte repletion with imbalanced patient sub-populations
Aishwarya Mandyam
Andrew Jones
Jiayu Yao
K. Laudanski
Barbara E. Engelhardt
OffRL
14
0
0
06 Oct 2021
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Conservative Data Sharing for Multi-Task Offline Reinforcement Learning
Tianhe Yu
Aviral Kumar
Yevgen Chebotar
Karol Hausman
Sergey Levine
Chelsea Finn
OffRL
35
77
0
16 Sep 2021
Bootstrapped Meta-Learning
Bootstrapped Meta-Learning
Sebastian Flennerhag
Yannick Schroecker
Tom Zahavy
Hado van Hasselt
David Silver
Satinder Singh
38
58
0
09 Sep 2021
Learning to Synthesize Programs as Interpretable and Generalizable
  Policies
Learning to Synthesize Programs as Interpretable and Generalizable Policies
Dweep Trivedi
Jesse Zhang
Shao-Hua Sun
Joseph J. Lim
NAI
24
72
0
31 Aug 2021
Learning Meta Representations for Agents in Multi-Agent Reinforcement
  Learning
Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning
Shenao Zhang
Li Shen
Lei Han
Li Shen
24
7
0
30 Aug 2021
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework
  and Survey
Explainable Reinforcement Learning for Broad-XAI: A Conceptual Framework and Survey
Richard Dazeley
Peter Vamplew
Francisco Cruz
32
59
0
20 Aug 2021
Open-Ended Learning Leads to Generally Capable Agents
Open-Ended Learning Leads to Generally Capable Agents
Open-Ended Learning Team
Adam Stooke
Anuj Mahajan
Catarina Barros
Charlie Deck
...
Nicolas Porcel
Roberta Raileanu
Steph Hughes-Fitt
Valentin Dalibard
Wojciech M. Czarnecki
31
181
0
27 Jul 2021
Bayesian Controller Fusion: Leveraging Control Priors in Deep
  Reinforcement Learning for Robotics
Bayesian Controller Fusion: Leveraging Control Priors in Deep Reinforcement Learning for Robotics
Krishan Rana
Vibhavari Dasagi
Jesse Haviland
Ben Talbot
Michael Milford
Niko Sünderhauf
BDL
OffRL
19
31
0
21 Jul 2021
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit
  Partial Observability
Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability
Dibya Ghosh
Jad Rahme
Aviral Kumar
Amy Zhang
Ryan P. Adams
Sergey Levine
OffRL
278
109
0
13 Jul 2021
Hierarchical Neural Dynamic Policies
Hierarchical Neural Dynamic Policies
Shikhar Bahl
Abhinav Gupta
Deepak Pathak
BDL
25
27
0
12 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity
Meta-learning Amidst Heterogeneity and Ambiguity
Kyeongryeol Go
Seyoung Yun
24
1
0
05 Jul 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Elliot Chane-Sane
Cordelia Schmid
Ivan Laptev
19
140
0
01 Jul 2021
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual
  Policies
SECANT: Self-Expert Cloning for Zero-Shot Generalization of Visual Policies
Linxi Fan
Guanzhi Wang
De-An Huang
Zhiding Yu
Li Fei-Fei
Yuke Zhu
Anima Anandkumar
OffRL
15
62
0
17 Jun 2021
On the Power of Multitask Representation Learning in Linear MDP
On the Power of Multitask Representation Learning in Linear MDP
Rui Lu
Gao Huang
S. Du
27
28
0
15 Jun 2021
From Motor Control to Team Play in Simulated Humanoid Football
From Motor Control to Team Play in Simulated Humanoid Football
Siqi Liu
Guy Lever
Zhe Wang
J. Merel
S. M. Ali Eslami
...
Tuomas Haarnoja
Brendan D. Tracey
K. Tuyls
T. Graepel
N. Heess
31
129
0
25 May 2021
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Dmitry Kalashnikov
Jacob Varley
Yevgen Chebotar
Benjamin Swanson
Rico Jonschkowski
Chelsea Finn
Sergey Levine
Karol Hausman
OffRL
47
270
0
16 Apr 2021
Efficient Transformers in Reinforcement Learning using Actor-Learner
  Distillation
Efficient Transformers in Reinforcement Learning using Actor-Learner Distillation
Emilio Parisotto
Ruslan Salakhutdinov
42
44
0
04 Apr 2021
Multi-Task Reinforcement Learning with Context-based Representations
Multi-Task Reinforcement Learning with Context-based Representations
Shagun Sodhani
Amy Zhang
Joelle Pineau
32
181
0
11 Feb 2021
Universal Trading for Order Execution with Oracle Policy Distillation
Universal Trading for Order Execution with Oracle Policy Distillation
Yuchen Fang
Kan Ren
Weiqing Liu
Dong Zhou
Weinan Zhang
Jiang Bian
Yong Yu
Tie-Yan Liu
OffRL
10
45
0
28 Jan 2021
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
Y. Fu
Zhongzhi Yu
Yongan Zhang
Yingyan Lin
22
4
0
24 Dec 2020
Meta Automatic Curriculum Learning
Meta Automatic Curriculum Learning
Rémy Portelas
Clément Romac
Katja Hofmann
Pierre-Yves Oudeyer
29
8
0
16 Nov 2020
Behavior Priors for Efficient Reinforcement Learning
Behavior Priors for Efficient Reinforcement Learning
Dhruva Tirumala
Alexandre Galashov
Hyeonwoo Noh
Leonard Hasenclever
Razvan Pascanu
...
Guillaume Desjardins
Wojciech M. Czarnecki
Arun Ahuja
Yee Whye Teh
N. Heess
37
39
0
27 Oct 2020
Learning Dexterous Manipulation from Suboptimal Experts
Learning Dexterous Manipulation from Suboptimal Experts
Rae Jeong
Jost Tobias Springenberg
Jackie Kay
Daniel Zheng
Yuxiang Zhou
Alexandre Galashov
N. Heess
F. Nori
OffRL
10
36
0
16 Oct 2020
The Traveling Observer Model: Multi-task Learning Through Spatial
  Variable Embeddings
The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings
Elliot Meyerson
Risto Miikkulainen
16
12
0
05 Oct 2020
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible
  Control
My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control
Vitaly Kurin
Maximilian Igl
Tim Rocktaschel
Wendelin Boehmer
Shimon Whiteson
AI4CE
15
85
0
05 Oct 2020
Multi-Task Learning with Deep Neural Networks: A Survey
Multi-Task Learning with Deep Neural Networks: A Survey
M. Crawshaw
CVBM
39
609
0
10 Sep 2020
Data-efficient Hindsight Off-policy Option Learning
Data-efficient Hindsight Off-policy Option Learning
Markus Wulfmeier
Dushyant Rao
Roland Hafner
Thomas Lampe
A. Abdolmaleki
...
Michael Neunert
Dhruva Tirumala
Noah Y. Siegel
N. Heess
Martin Riedmiller
OffRL
23
47
0
30 Jul 2020
Off-Policy Multi-Agent Decomposed Policy Gradients
Off-Policy Multi-Agent Decomposed Policy Gradients
Yihan Wang
Beining Han
Tonghan Wang
Heng Dong
Chongjie Zhang
30
174
0
24 Jul 2020
Learning Robust State Abstractions for Hidden-Parameter Block MDPs
Learning Robust State Abstractions for Hidden-Parameter Block MDPs
Amy Zhang
Shagun Sodhani
Khimya Khetarpal
Joelle Pineau
31
5
0
14 Jul 2020
Lifelong Policy Gradient Learning of Factored Policies for Faster
  Training Without Forgetting
Lifelong Policy Gradient Learning of Factored Policies for Faster Training Without Forgetting
Jorge Armando Mendez Mendez
Boyu Wang
Eric Eaton
CLL
28
38
0
14 Jul 2020
Transient Non-Stationarity and Generalisation in Deep Reinforcement
  Learning
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning
Maximilian Igl
Gregory Farquhar
Jelena Luketina
Wendelin Boehmer
Shimon Whiteson
24
83
0
10 Jun 2020
Language Conditioned Imitation Learning over Unstructured Data
Language Conditioned Imitation Learning over Unstructured Data
Corey Lynch
P. Sermanet
LM&Ro
33
242
0
15 May 2020
A Distributional View on Multi-Objective Policy Optimization
A Distributional View on Multi-Objective Policy Optimization
A. Abdolmaleki
Sandy H. Huang
Leonard Hasenclever
Michael Neunert
H. F. Song
Martina Zambelli
M. Martins
N. Heess
R. Hadsell
Martin Riedmiller
21
74
0
15 May 2020
Multi-Task Reinforcement Learning with Soft Modularization
Multi-Task Reinforcement Learning with Soft Modularization
Ruihan Yang
Huazhe Xu
Yi Wu
Xiaolong Wang
27
175
0
30 Mar 2020
Rewriting History with Inverse RL: Hindsight Inference for Policy
  Improvement
Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement
Benjamin Eysenbach
Xinyang Geng
Sergey Levine
Ruslan Salakhutdinov
OffRL
18
86
0
25 Feb 2020
Keep Doing What Worked: Behavioral Modelling Priors for Offline
  Reinforcement Learning
Keep Doing What Worked: Behavioral Modelling Priors for Offline Reinforcement Learning
Noah Y. Siegel
Jost Tobias Springenberg
Felix Berkenkamp
A. Abdolmaleki
Michael Neunert
Thomas Lampe
Roland Hafner
Nicolas Heess
Martin Riedmiller
OffRL
22
282
0
19 Feb 2020
Self-Distillation Amplifies Regularization in Hilbert Space
Self-Distillation Amplifies Regularization in Hilbert Space
H. Mobahi
Mehrdad Farajtabar
Peter L. Bartlett
19
226
0
13 Feb 2020
Gradient Surgery for Multi-Task Learning
Gradient Surgery for Multi-Task Learning
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
21
1,165
0
19 Jan 2020
A Survey of Deep Reinforcement Learning in Video Games
A Survey of Deep Reinforcement Learning in Video Games
Kun Shao
Zhentao Tang
Yuanheng Zhu
Nannan Li
Dongbin Zhao
OffRL
AI4TS
37
188
0
23 Dec 2019
Collaborative Graph Walk for Semi-supervised Multi-Label Node
  Classification
Collaborative Graph Walk for Semi-supervised Multi-Label Node Classification
Uchenna Akujuobi
Yufei Han
Qiannan Zhang
Xiangliang Zhang
25
16
0
22 Oct 2019
A Neural Entity Coreference Resolution Review
A Neural Entity Coreference Resolution Review
Nikolaos Stylianou
I. Vlahavas
21
38
0
21 Oct 2019
Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning
  in Asymmetric Imperfect-Information Games
Robust Opponent Modeling via Adversarial Ensemble Reinforcement Learning in Asymmetric Imperfect-Information Games
Macheng Shen
Jonathan P. How
AAML
21
19
0
18 Sep 2019
Rewarding Coreference Resolvers for Being Consistent with World
  Knowledge
Rewarding Coreference Resolvers for Being Consistent with World Knowledge
Rahul Aralikatte
Heather Lent
Ana Valeria González
Daniel Hershcovich
Chen Qiu
Anders Sandholm
Michael Ringaard
Anders Søgaard
16
16
0
05 Sep 2019
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