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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 / 124 papers shown
Title
Harmonia: A Multi-Agent Reinforcement Learning Approach to Data Placement and Migration in Hybrid Storage Systems
Harmonia: A Multi-Agent Reinforcement Learning Approach to Data Placement and Migration in Hybrid Storage Systems
Rakesh Nadig
Vamanan Arulchelvan
Rahul Bera
Taha Shahroodi
Gagandeep Singh
Mohammad Sadrosadati
Jisung Park
O. Mutlu
Onur Mutlu
65
0
0
26 Mar 2025
UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning
Oubo Ma
L. Du
Yang Dai
Chunyi Zhou
Qingming Li
Yuwen Pu
Shouling Ji
46
0
0
28 Jan 2025
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front
C-MORL: Multi-Objective Reinforcement Learning through Efficient Discovery of Pareto Front
Ruohong Liu
Yuxin Pan
Linjie Xu
Lei Song
Jiang Bian
Pengcheng You
Yize Chen
40
1
0
03 Oct 2024
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining
Jie Cheng
Ruixi Qiao
Gang Xiong
Binhua Li
Yingwei Ma
Binhua Li
Yongbin Li
Yisheng Lv
OffRL
OnRL
LM&Ro
50
3
0
01 Oct 2024
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
How to Solve Contextual Goal-Oriented Problems with Offline Datasets?
Ying Fan
Jingling Li
Adith Swaminathan
Aditya Modi
Ching-An Cheng
OffRL
72
0
0
14 Aug 2024
Model-Based Transfer Learning for Contextual Reinforcement Learning
Model-Based Transfer Learning for Contextual Reinforcement Learning
Jung-Hoon Cho
Vindula Jayawardana
Sirui Li
Cathy Wu
OffRL
45
0
0
08 Aug 2024
AdapMTL: Adaptive Pruning Framework for Multitask Learning Model
AdapMTL: Adaptive Pruning Framework for Multitask Learning Model
Mingcan Xiang
Steven Jiaxun Tang
Qizheng Yang
Hui Guan
Tongping Liu
VLM
39
0
0
07 Aug 2024
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback
The Power of Active Multi-Task Learning in Reinforcement Learning from Human Feedback
Ruitao Chen
Liwei Wang
72
1
0
18 May 2024
Shared learning of powertrain control policies for vehicle fleets
Shared learning of powertrain control policies for vehicle fleets
Lindsey Kerbel
B. Ayalew
Andrej Ivanco
29
0
0
27 Apr 2024
Towards Multi-Morphology Controllers with Diversity and Knowledge
  Distillation
Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation
Alican Mertan
Nick Cheney
34
0
0
22 Apr 2024
PhysReaction: Physically Plausible Real-Time Humanoid Reaction Synthesis
  via Forward Dynamics Guided 4D Imitation
PhysReaction: Physically Plausible Real-Time Humanoid Reaction Synthesis via Forward Dynamics Guided 4D Imitation
Yunze Liu
Changxi Chen
Chenjing Ding
Li Yi
34
6
0
01 Apr 2024
Enhancing Reinforcement Learning Agents with Local Guides
Enhancing Reinforcement Learning Agents with Local Guides
Paul Daoudi
Bogdan Robu
Christophe Prieur
Ludovic Dos Santos
M. Barlier
OnRL
31
3
0
21 Feb 2024
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on
  Light-Weighed Backbones and Effective Measurement of Multi-Task Learning
  Challenges by Feature Disentanglement
Robust Analysis of Multi-Task Learning Efficiency: New Benchmarks on Light-Weighed Backbones and Effective Measurement of Multi-Task Learning Challenges by Feature Disentanglement
Dayou Mao
Yuhao Chen
Yifan Wu
Maximilian Gilles
Alexander Wong
AAML
38
0
0
05 Feb 2024
Augmenting Unsupervised Reinforcement Learning with Self-Reference
Augmenting Unsupervised Reinforcement Learning with Self-Reference
Andrew Zhao
Erle Zhu
Rui Lu
Matthieu Lin
Yong-Jin Liu
Gao Huang
SSL
31
1
0
16 Nov 2023
Confronting Reward Model Overoptimization with Constrained RLHF
Confronting Reward Model Overoptimization with Constrained RLHF
Ted Moskovitz
Aaditya K. Singh
DJ Strouse
T. Sandholm
Ruslan Salakhutdinov
Anca D. Dragan
Stephen Marcus McAleer
34
47
0
06 Oct 2023
IOB: Integrating Optimization Transfer and Behavior Transfer for
  Multi-Policy Reuse
IOB: Integrating Optimization Transfer and Behavior Transfer for Multi-Policy Reuse
Siyuan Li
Haoyang Li
Jin Zhang
Zhen Wang
Peng Liu
Chongjie Zhang
OffRL
24
1
0
14 Aug 2023
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement
  Learning
Learning Agile Soccer Skills for a Bipedal Robot with Deep Reinforcement Learning
Tuomas Haarnoja
Ben Moran
Guy Lever
Sandy H. Huang
Dhruva Tirumala
...
Andrea Huber
N. Hurley
F. Nori
R. Hadsell
N. Heess
39
140
0
26 Apr 2023
UniDexGrasp++: Improving Dexterous Grasping Policy Learning via
  Geometry-aware Curriculum and Iterative Generalist-Specialist Learning
UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning
Weikang Wan
Haoran Geng
Yun-Hai Liu
Zikang Shan
Yaodong Yang
Li Yi
He-Nan Wang
47
94
0
02 Apr 2023
MINOTAUR: Multi-task Video Grounding From Multimodal Queries
MINOTAUR: Multi-task Video Grounding From Multimodal Queries
Raghav Goyal
E. Mavroudi
Xitong Yang
Sainbayar Sukhbaatar
Leonid Sigal
Matt Feiszli
Lorenzo Torresani
Du Tran
26
7
0
16 Feb 2023
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
Cross-domain Random Pre-training with Prototypes for Reinforcement Learning
Xin Liu
Yaran Chen
Haoran Li
Boyu Li
Dong Zhao
SSL
63
10
0
11 Feb 2023
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
Pouya Hamadanian
Arash Nasr-Esfahany
Malte Schwarzkopf
Siddartha Sen
MohammadIman Alizadeh
CLL
OffRL
50
0
0
04 Feb 2023
Learning Vision-based Robotic Manipulation Tasks Sequentially in Offline
  Reinforcement Learning Settings
Learning Vision-based Robotic Manipulation Tasks Sequentially in Offline Reinforcement Learning Settings
Sudhir Pratap Yadav
R. Nagar
S. Shah
OffRL
24
3
0
31 Jan 2023
A Constrained-Optimization Approach to the Execution of Prioritized
  Stacks of Learned Multi-Robot Tasks
A Constrained-Optimization Approach to the Execution of Prioritized Stacks of Learned Multi-Robot Tasks
Gennaro Notomista
21
2
0
13 Jan 2023
Multi-Task Imitation Learning for Linear Dynamical Systems
Multi-Task Imitation Learning for Linear Dynamical Systems
Thomas T. Zhang
Katie Kang
Bruce D. Lee
Claire Tomlin
Sergey Levine
Stephen Tu
Nikolai Matni
35
23
0
01 Dec 2022
Hypernetworks for Zero-shot Transfer in Reinforcement Learning
Hypernetworks for Zero-shot Transfer in Reinforcement Learning
S. Rezaei-Shoshtari
Charlotte Morissette
F. Hogan
Gregory Dudek
D. Meger
OffRL
17
14
0
28 Nov 2022
Transfer RL via the Undo Maps Formalism
Transfer RL via the Undo Maps Formalism
Abhi Gupta
Theodore H. Moskovitz
David Alvarez-Melis
Aldo Pacchiano
OffRL
25
0
0
26 Nov 2022
A Unified Analysis of Multi-task Functional Linear Regression Models
  with Manifold Constraint and Composite Quadratic Penalty
A Unified Analysis of Multi-task Functional Linear Regression Models with Manifold Constraint and Composite Quadratic Penalty
Shiyuan He
Hanxuan Ye
Kejun He
21
0
0
09 Nov 2022
Curriculum-based Asymmetric Multi-task Reinforcement Learning
Curriculum-based Asymmetric Multi-task Reinforcement Learning
H. Huang
Deheng Ye
Li Shen
Wei Liu
32
12
0
07 Nov 2022
Robotic Assembly Control Reconfiguration Based on Transfer Reinforcement
  Learning for Objects with Different Geometric Features
Robotic Assembly Control Reconfiguration Based on Transfer Reinforcement Learning for Objects with Different Geometric Features
Yuhang Gai
Bin Wang
Jiwen Zhang
Dan Wu
Ken Chen
26
0
0
04 Nov 2022
Symbolic Distillation for Learned TCP Congestion Control
Symbolic Distillation for Learned TCP Congestion Control
S. Sharan
Wenqing Zheng
Kuo-Feng Hsu
Jiarong Xing
Ang Chen
Zhangyang Wang
23
5
0
24 Oct 2022
PaCo: Parameter-Compositional Multi-Task Reinforcement Learning
PaCo: Parameter-Compositional Multi-Task Reinforcement Learning
Lingfeng Sun
Haichao Zhang
Wei-ping Xu
M. Tomizuka
MoE
24
36
0
21 Oct 2022
Model-based Lifelong Reinforcement Learning with Bayesian Exploration
Model-based Lifelong Reinforcement Learning with Bayesian Exploration
Haotian Fu
Shangqun Yu
Michael Littman
George Konidaris
BDL
OffRL
6
12
0
20 Oct 2022
Hypernetworks in Meta-Reinforcement Learning
Hypernetworks in Meta-Reinforcement Learning
Jacob Beck
Matthew Jackson
Risto Vuorio
Shimon Whiteson
OffRL
27
30
0
20 Oct 2022
CUP: Critic-Guided Policy Reuse
CUP: Critic-Guided Policy Reuse
Jin Zhang
Siyuan Li
Chongjie Zhang
26
8
0
15 Oct 2022
Minimum Description Length Control
Minimum Description Length Control
Theodore H. Moskovitz
Ta-Chu Kao
M. Sahani
M. Botvinick
26
1
0
17 Jul 2022
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task
  RL
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL
Wei Shi
Hanrui Wang
Jiaqi Gu
Mingjie Liu
David Z. Pan
Song Han
Nan Sun
14
14
0
13 Jul 2022
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic
  Reinforcement Learning
Don't Start From Scratch: Leveraging Prior Data to Automate Robotic Reinforcement Learning
Homer Walke
Jonathan Yang
Albert Yu
Aviral Kumar
Jedrzej Orbik
Avi Singh
Sergey Levine
OffRL
OnRL
25
32
0
11 Jul 2022
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework
Shunyu Liu
Kaixuan Chen
Na Yu
Jie Song
Zunlei Feng
Mingli Song
39
1
0
05 Jul 2022
Improving Policy Optimization with Generalist-Specialist Learning
Improving Policy Optimization with Generalist-Specialist Learning
Zhiwei Jia
Xuanlin Li
Z. Ling
Shuang Liu
Yiran Wu
H. Su
OffRL
29
24
0
26 Jun 2022
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Contrastive Learning as Goal-Conditioned Reinforcement Learning
Benjamin Eysenbach
Tianjun Zhang
Ruslan Salakhutdinov
Sergey Levine
SSL
OffRL
25
139
0
15 Jun 2022
Multi-Source Transfer Learning for Deep Model-Based Reinforcement
  Learning
Multi-Source Transfer Learning for Deep Model-Based Reinforcement Learning
Remo Sasso
M. Sabatelli
M. Wiering
43
9
0
28 May 2022
The Primacy Bias in Deep Reinforcement Learning
The Primacy Bias in Deep Reinforcement Learning
Evgenii Nikishin
Max Schwarzer
P. DÓro
Pierre-Luc Bacon
Aaron C. Courville
OnRL
96
180
0
16 May 2022
SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation
  Learning
SKILL-IL: Disentangling Skill and Knowledge in Multitask Imitation Learning
Xihan Bian
Oscar Alejandro Mendez Maldonado
Simon Hadfield
29
6
0
06 May 2022
Understanding and Preventing Capacity Loss in Reinforcement Learning
Understanding and Preventing Capacity Loss in Reinforcement Learning
Clare Lyle
Mark Rowland
Will Dabney
CLL
33
109
0
20 Apr 2022
Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data
Forgetting and Imbalance in Robot Lifelong Learning with Off-policy Data
Wenxuan Zhou
Steven Bohez
Jan Humplik
A. Abdolmaleki
Dushyant Rao
Markus Wulfmeier
Tuomas Haarnoja
N. Heess
OffRL
32
6
0
12 Apr 2022
Federated Reinforcement Learning with Environment Heterogeneity
Federated Reinforcement Learning with Environment Heterogeneity
Hao Jin
Yang Peng
Wenhao Yang
Shusen Wang
Zhihua Zhang
57
67
0
06 Apr 2022
Nearly Minimax Algorithms for Linear Bandits with Shared Representation
Nearly Minimax Algorithms for Linear Bandits with Shared Representation
Jiaqi Yang
Qi Lei
Jason D. Lee
S. Du
35
16
0
29 Mar 2022
Retrieval-Augmented Reinforcement Learning
Retrieval-Augmented Reinforcement Learning
Anirudh Goyal
A. Friesen
Andrea Banino
T. Weber
Nan Rosemary Ke
...
Michal Valko
Simon Osindero
Timothy Lillicrap
N. Heess
Charles Blundell
OffRL
32
53
0
17 Feb 2022
In Defense of the Unitary Scalarization for Deep Multi-Task Learning
In Defense of the Unitary Scalarization for Deep Multi-Task Learning
Vitaly Kurin
Alessandro De Palma
Ilya Kostrikov
Shimon Whiteson
M. P. Kumar
33
73
0
11 Jan 2022
CoMPS: Continual Meta Policy Search
CoMPS: Continual Meta Policy Search
Glen Berseth
Zhiwei Zhang
Grace Zhang
Chelsea Finn
Sergey Levine
CLL
OffRL
28
16
0
08 Dec 2021
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