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2102.06177
Cited By
Multi-Task Reinforcement Learning with Context-based Representations
11 February 2021
Shagun Sodhani
Amy Zhang
Joelle Pineau
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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
Xinyue Wang
Biwei Huang
OffRL
CML
27
0
0
13 May 2025
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
Siyuan Mu
Sen Lin
MoE
120
1
0
10 Mar 2025
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
Chengyang Ying
Zhongkai Hao
Xinning Zhou
Hang Su
Songming Liu
Dong Yan
Jun Zhu
62
3
0
17 Feb 2025
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
Wenli Yang
Rui Fu
M. B. Amin
B. Kang
35
0
0
28 Jan 2025
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
Jie Cheng
Ruixi Qiao
Gang Xiong
Binhua Li
Yingwei Ma
Binhua Li
Yongbin Li
Yisheng Lv
OffRL
OnRL
LM&Ro
47
3
0
01 Oct 2024
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?
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
Jung-Hoon Cho
Vindula Jayawardana
Sirui Li
Cathy Wu
OffRL
45
0
0
08 Aug 2024
Inductive Generalization in Reinforcement Learning from Specifications
Vignesh Subramanian
Rohit Kushwah
Subhajit Roy
Suguman Bansal
OffRL
31
0
0
05 Jun 2024
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
Carlo DÉramo
Davide Tateo
Andrea Bonarini
Marcello Restelli
Jan Peters
48
122
0
17 Jan 2024
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
Siyuan Li
Haoyang Li
Jin Zhang
Zhen Wang
Peng Liu
Chongjie Zhang
OffRL
22
1
0
14 Aug 2023
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
David Brandfonbrener
Ofir Nachum
Joan Bruna
AI4CE
20
20
0
26 May 2023
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
Pouya Hamadanian
Arash Nasr-Esfahany
Malte Schwarzkopf
Siddartha Sen
MohammadIman Alizadeh
CLL
OffRL
40
0
0
04 Feb 2023
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
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
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
Kuang-Huei Lee
Ted Xiao
A. Li
Paul Wohlhart
Ian S. Fischer
Yao Lu
43
10
0
15 Oct 2022
CUP: Critic-Guided Policy Reuse
Jin Zhang
Siyuan Li
Chongjie Zhang
15
8
0
15 Oct 2022
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
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
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
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
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
Yanxi Chen
H. Vincent Poor
16
17
0
26 Jan 2022
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
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
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
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
Runzhe Wan
Linjuan Ge
Rui Song
28
28
0
13 Aug 2021
1