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Multi-Task Reinforcement Learning with Context-based Representations

Multi-Task Reinforcement Learning with Context-based Representations

11 February 2021
Shagun Sodhani
Amy Zhang
Joelle Pineau
ArXivPDFHTML

Papers citing "Multi-Task Reinforcement Learning with Context-based Representations"

37 / 37 papers shown
Title
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
Modeling Unseen Environments with Language-guided Composable Causal Components in Reinforcement Learning
Xinyue Wang
Biwei Huang
OffRL
CML
29
0
0
13 May 2025
IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation
IPCGRL: Language-Instructed Reinforcement Learning for Procedural Level Generation
In-Chang Baek
Sung-Hyun Kim
Seo-Young Lee
Dong-Hyeun Kim
Kyung-Joong Kim
56
0
0
16 Mar 2025
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications
Siyuan Mu
Sen Lin
MoE
126
1
0
10 Mar 2025
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks
Make Haste Slowly: A Theory of Emergent Structured Mixed Selectivity in Feature Learning ReLU Networks
Devon Jarvis
Richard Klein
Benjamin Rosman
Andrew M. Saxe
MLT
64
1
0
08 Mar 2025
Task Aware Dreamer for Task Generalization in Reinforcement Learning
Task Aware Dreamer for Task Generalization in Reinforcement Learning
Chengyang Ying
Zhongkai Hao
Xinning Zhou
Hang Su
Songming Liu
Dong Yan
Jun Zhu
64
3
0
17 Feb 2025
Reinforcement Learning of Flexible Policies for Symbolic Instructions with Adjustable Mapping Specifications
Reinforcement Learning of Flexible Policies for Symbolic Instructions with Adjustable Mapping Specifications
Wataru Hatanaka
R. Yamashina
Takamitsu Matsubara
105
0
0
31 Jan 2025
Impact and influence of modern AI in metadata management
Impact and influence of modern AI in metadata management
Wenli Yang
Rui Fu
M. B. Amin
B. Kang
35
0
0
28 Jan 2025
Federated Communication-Efficient Multi-Objective Optimization
Federated Communication-Efficient Multi-Objective Optimization
Baris Askin
Pranay Sharma
Gauri Joshi
Carlee Joe-Wong
FedML
64
1
0
21 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
Multi-Type Preference Learning: Empowering Preference-Based
  Reinforcement Learning with Equal Preferences
Multi-Type Preference Learning: Empowering Preference-Based Reinforcement Learning with Equal Preferences
Z. Liu
Junjie Xu
Xingjiao Wu
J. Yang
Liang He
26
0
0
11 Sep 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
70
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
Inductive Generalization in Reinforcement Learning from Specifications
Inductive Generalization in Reinforcement Learning from Specifications
Vignesh Subramanian
Rohit Kushwah
Subhajit Roy
Suguman Bansal
OffRL
33
0
0
05 Jun 2024
Multi Task Inverse Reinforcement Learning for Common Sense Reward
Multi Task Inverse Reinforcement Learning for Common Sense Reward
Neta Glazer
Aviv Navon
Aviv Shamsian
Ethan Fetaya
27
0
0
17 Feb 2024
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Sharing Knowledge in Multi-Task Deep Reinforcement Learning
Carlo DÉramo
Davide Tateo
Andrea Bonarini
Marcello Restelli
Jan Peters
56
122
0
17 Jan 2024
Interpretable Meta-Learning of Physical Systems
Interpretable Meta-Learning of Physical Systems
Matthieu Blanke
Marc Lelarge
AI4CE
22
4
0
01 Dec 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
22
1
0
14 Aug 2023
FAMO: Fast Adaptive Multitask Optimization
FAMO: Fast Adaptive Multitask Optimization
B. Liu
Yihao Feng
Peter Stone
Qian Liu
33
30
0
06 Jun 2023
Inverse Dynamics Pretraining Learns Good Representations for Multitask
  Imitation
Inverse Dynamics Pretraining Learns Good Representations for Multitask Imitation
David Brandfonbrener
Ofir Nachum
Joan Bruna
AI4CE
20
20
0
26 May 2023
Robust Knowledge Transfer in Tiered Reinforcement Learning
Robust Knowledge Transfer in Tiered Reinforcement Learning
Jiawei Huang
Niao He
OffRL
21
1
0
10 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
42
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
16
3
0
31 Jan 2023
Multi-task Highly Adaptive Lasso
Multi-task Highly Adaptive Lasso
Ivana Malenica
Rachael V. Phillips
D. Lazzareschi
Jeremy Coyle
Romain Pirracchio
Mark van der Laan
28
0
0
27 Jan 2023
Multi-Environment Pretraining Enables Transfer to Action Limited
  Datasets
Multi-Environment Pretraining Enables Transfer to Action Limited Datasets
David Venuto
Sherry Yang
Pieter Abbeel
Doina Precup
Igor Mordatch
Ofir Nachum
OffRL
20
5
0
23 Nov 2022
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic
  Reinforcement Learning at Scale
PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale
Kuang-Huei Lee
Ted Xiao
A. Li
Paul Wohlhart
Ian S. Fischer
Yao Lu
45
10
0
15 Oct 2022
CUP: Critic-Guided Policy Reuse
CUP: Critic-Guided Policy Reuse
Jin Zhang
Siyuan Li
Chongjie Zhang
21
8
0
15 Oct 2022
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation
Mohit Shridhar
Lucas Manuelli
D. Fox
LM&Ro
155
456
0
12 Sep 2022
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
The Neural Race Reduction: Dynamics of Abstraction in Gated Networks
Andrew M. Saxe
Shagun Sodhani
Sam Lewallen
AI4CE
28
34
0
21 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
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
24
24
0
26 Jun 2022
Multi-Agent Policy Transfer via Task Relationship Modeling
Multi-Agent Policy Transfer via Task Relationship Modeling
Rongjun Qin
F. Chen
Tonghan Wang
Lei Yuan
Xiaoran Wu
Zongzhang Zhang
Chongjie Zhang
Yang Yu
30
19
0
09 Mar 2022
Learning Mixtures of Linear Dynamical Systems
Learning Mixtures of Linear Dynamical Systems
Yanxi Chen
H. Vincent Poor
18
17
0
26 Jan 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
28
73
0
11 Jan 2022
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
33
297
0
26 Oct 2021
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning
C. Benjamins
Theresa Eimer
Frederik Schubert
André Biedenkapp
Bodo Rosenhahn
Frank Hutter
Marius Lindauer
OffRL
41
23
0
05 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
24
78
0
16 Sep 2021
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models
Runzhe Wan
Linjuan Ge
Rui Song
28
28
0
13 Aug 2021
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