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Learning Task Informed Abstractions

Learning Task Informed Abstractions

29 June 2021
Xiang Fu
Ge Yang
Pulkit Agrawal
Tommi Jaakkola
ArXivPDFHTML

Papers citing "Learning Task Informed Abstractions"

13 / 13 papers shown
Title
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning
MInCo: Mitigating Information Conflicts in Distracted Visual Model-based Reinforcement Learning
Shiguang Sun
Hanbo Zhang
Zeyang Liu
Xinrui Yang
Lipeng Wan
Bing Yan
Xingyu Chen
Xuguang Lan
38
0
0
05 Apr 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
72
3
0
17 Feb 2025
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
Hao-ming Lin
Wenhao Ding
Jian Chen
Laixi Shi
Jiacheng Zhu
Bo-wen Li
Ding Zhao
OffRL
CML
54
0
0
15 Jul 2024
Bridging State and History Representations: Understanding
  Self-Predictive RL
Bridging State and History Representations: Understanding Self-Predictive RL
Tianwei Ni
Benjamin Eysenbach
Erfan Seyedsalehi
Michel Ma
Clement Gehring
Aditya Mahajan
Pierre-Luc Bacon
AI4TS
AI4CE
22
20
0
17 Jan 2024
RePo: Resilient Model-Based Reinforcement Learning by Regularizing
  Posterior Predictability
RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability
Chuning Zhu
Max Simchowitz
Siri Gadipudi
Abhishek Gupta
43
13
0
31 Aug 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
26
21
0
26 May 2023
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
Optimal Goal-Reaching Reinforcement Learning via Quasimetric Learning
Tongzhou Wang
Antonio Torralba
Phillip Isola
Amy Zhang
OffRL
32
31
0
03 Apr 2023
Disentangled (Un)Controllable Features
Disentangled (Un)Controllable Features
Jacob E. Kooi
Mark Hoogendoorn
Vincent François-Lavet
DRL
27
0
0
31 Oct 2022
Look where you look! Saliency-guided Q-networks for generalization in
  visual Reinforcement Learning
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning
David Bertoin
Adil Zouitine
Mehdi Zouitine
Emmanuel Rachelson
36
30
0
16 Sep 2022
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step
  Inverse Models
Guaranteed Discovery of Control-Endogenous Latent States with Multi-Step Inverse Models
Alex Lamb
Riashat Islam
Yonathan Efroni
Aniket Didolkar
Dipendra Kumar Misra
Dylan J. Foster
Lekan Molu
Rajan Chari
A. Krishnamurthy
John Langford
41
24
0
17 Jul 2022
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
The Distracting Control Suite -- A Challenging Benchmark for
  Reinforcement Learning from Pixels
The Distracting Control Suite -- A Challenging Benchmark for Reinforcement Learning from Pixels
Austin Stone
Oscar Ramirez
K. Konolige
Rico Jonschkowski
137
101
0
07 Jan 2021
Decoupling Representation Learning from Reinforcement Learning
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke
Kimin Lee
Pieter Abbeel
Michael Laskin
SSL
DRL
284
341
0
14 Sep 2020
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