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Goal-Aware Prediction: Learning to Model What Matters
v1v2 (latest)

Goal-Aware Prediction: Learning to Model What Matters

International Conference on Machine Learning (ICML), 2020
14 July 2020
Suraj Nair
Silvio Savarese
Chelsea Finn
ArXiv (abs)PDFHTML

Papers citing "Goal-Aware Prediction: Learning to Model What Matters"

41 / 41 papers shown
Efficient Robotic Policy Learning via Latent Space Backward Planning
Efficient Robotic Policy Learning via Latent Space Backward Planning
Dongxiu Liu
Haoyi Niu
Zhihao Wang
Jinliang Zheng
Yinan Zheng
Zhonghong Ou
Jianming Hu
Jianxiong Li
Xianyuan Zhan
316
5
0
11 May 2025
Policy-shaped prediction: avoiding distractions in model-based
  reinforcement learning
Policy-shaped prediction: avoiding distractions in model-based reinforcement learningNeural Information Processing Systems (NeurIPS), 2024
Miles Hutson
Isaac Kauvar
Nick Haber
327
1
0
08 Dec 2024
Pre-trained Visual Dynamics Representations for Efficient Policy
  Learning
Pre-trained Visual Dynamics Representations for Efficient Policy LearningEuropean Conference on Computer Vision (ECCV), 2024
Hao Luo
Bohan Zhou
Zongqing Lu
267
5
0
05 Nov 2024
Learning World Models for Unconstrained Goal Navigation
Learning World Models for Unconstrained Goal NavigationNeural Information Processing Systems (NeurIPS), 2024
Yuanlin Duan
Wensen Mao
He Zhu
242
7
0
03 Nov 2024
Make the Pertinent Salient: Task-Relevant Reconstruction for Visual
  Control with Distractions
Make the Pertinent Salient: Task-Relevant Reconstruction for Visual Control with Distractions
Kyungmin Kim
JB Lanier
Pierre Baldi
Charless C. Fowlkes
Roy Fox
245
4
0
13 Oct 2024
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
Yue Liu
Ding Zhao
OffRLCML
499
3
0
15 Jul 2024
Tell Me What's Next: Textual Foresight for Generic UI Representations
Tell Me What's Next: Textual Foresight for Generic UI Representations
Andrea Burns
Kate Saenko
Bryan A. Plummer
LM&RoAI4TS
293
7
0
12 Jun 2024
Contrastive Difference Predictive Coding
Contrastive Difference Predictive CodingInternational Conference on Learning Representations (ICLR), 2023
Chongyi Zheng
Ruslan Salakhutdinov
Benjamin Eysenbach
AI4TSOffRL
334
26
0
31 Oct 2023
Learning to Discern: Imitating Heterogeneous Human Demonstrations with
  Preference and Representation Learning
Learning to Discern: Imitating Heterogeneous Human Demonstrations with Preference and Representation LearningConference on Robot Learning (CoRL), 2023
Sachit Kuhar
Shuo Cheng
Shivang Chopra
Matthew Bronars
Danfei Xu
394
15
0
22 Oct 2023
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable
  Environments
Imitator Learning: Achieve Out-of-the-Box Imitation Ability in Variable Environments
Xiong-Hui Chen
Junyin Ye
Hang Zhao
Yi-Chen Li
Haoran Shi
...
Si-Hang Yang
Anqi Huang
Kai Xu
Zongzhang Zhang
Yang Yu
223
0
0
09 Oct 2023
Learning Multimodal Attention for Manipulating Deformable Objects with Changing States
Learning Multimodal Attention for Manipulating Deformable Objects with Changing States
Namiko Saito
Mayu Hiramoto
A. Kubo
Kanata Suzuki
Hiroshi Ito
S. Sugano
Tetsuya Ogata
305
7
0
26 Sep 2023
DREAMWALKER: Mental Planning for Continuous Vision-Language Navigation
DREAMWALKER: Mental Planning for Continuous Vision-Language NavigationIEEE International Conference on Computer Vision (ICCV), 2023
Hanqing Wang
Wei Liang
Luc Van Gool
Wenguan Wang
LM&Ro
208
78
0
14 Aug 2023
Can Pre-Trained Text-to-Image Models Generate Visual Goals for
  Reinforcement Learning?
Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?Neural Information Processing Systems (NeurIPS), 2023
Jialu Gao
Kaizhe Hu
Guowei Xu
Huazhe Xu
LM&Ro
203
21
0
15 Jul 2023
Bayesian Reinforcement Learning with Limited Cognitive Load
Bayesian Reinforcement Learning with Limited Cognitive LoadOpen Mind (OM), 2023
Dilip Arumugam
Mark K. Ho
Noah D. Goodman
Benjamin Van Roy
OffRL
240
14
0
05 May 2023
Minimal Value-Equivalent Partial Models for Scalable and Robust Planning
  in Lifelong Reinforcement Learning
Minimal Value-Equivalent Partial Models for Scalable and Robust Planning in Lifelong Reinforcement Learning
Safa Alver
Doina Precup
OffRL
214
5
0
24 Jan 2023
Plan To Predict: Learning an Uncertainty-Foreseeing Model for
  Model-Based Reinforcement Learning
Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2023
Zifan Wu
Chao Yu
Chong Chen
Jianye Hao
H. Zhuo
157
21
0
20 Jan 2023
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement
  Learning
On Rate-Distortion Theory in Capacity-Limited Cognition & Reinforcement Learning
Dilip Arumugam
Mark K. Ho
Noah D. Goodman
Benjamin Van Roy
274
7
0
30 Oct 2022
Performance-Driven Controller Tuning via Derivative-Free Reinforcement
  Learning
Performance-Driven Controller Tuning via Derivative-Free Reinforcement LearningIEEE Conference on Decision and Control (CDC), 2022
Yuheng Lei
Jianyu Chen
Sheng Li
Sifa Zheng
183
3
0
11 Sep 2022
Task-Agnostic Learning to Accomplish New Tasks
Task-Agnostic Learning to Accomplish New TasksIEEE Transactions on Cognitive and Developmental Systems (IEEE TCDS), 2022
Xianqi Zhang
Xingtao Wang
Xu Liu
Wenrui Wang
Xiaopeng Fan
Debin Zhao
OffRL
550
0
0
09 Sep 2022
Generalizing Goal-Conditioned Reinforcement Learning with Variational
  Causal Reasoning
Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal ReasoningNeural Information Processing Systems (NeurIPS), 2022
Wenhao Ding
Haohong Lin
Yue Liu
Ding Zhao
LRM
566
50
0
19 Jul 2022
Deciding What to Model: Value-Equivalent Sampling for Reinforcement
  Learning
Deciding What to Model: Value-Equivalent Sampling for Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2022
Dilip Arumugam
Benjamin Van Roy
OffRL
273
18
0
04 Jun 2022
Control-Aware Prediction Objectives for Autonomous Driving
Control-Aware Prediction Objectives for Autonomous DrivingIEEE International Conference on Robotics and Automation (ICRA), 2022
R. McAllister
Blake Wulfe
Jean Mercat
Logan Ellis
Sergey Levine
Adrien Gaidon
162
23
0
28 Apr 2022
Value Gradient weighted Model-Based Reinforcement Learning
Value Gradient weighted Model-Based Reinforcement LearningInternational Conference on Learning Representations (ICLR), 2022
C. Voelcker
Victor Liao
Animesh Garg
Amir-massoud Farahmand
205
35
0
04 Apr 2022
R3M: A Universal Visual Representation for Robot Manipulation
R3M: A Universal Visual Representation for Robot ManipulationConference on Robot Learning (CoRL), 2022
Suraj Nair
Aravind Rajeswaran
Vikash Kumar
Chelsea Finn
Abhi Gupta
LM&Ro
424
764
0
23 Mar 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Goal-Conditioned Reinforcement Learning: Problems and SolutionsInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Minghuan Liu
Menghui Zhu
Weinan Zhang
356
185
0
20 Jan 2022
ED2: Environment Dynamics Decomposition World Models for Continuous
  Control
ED2: Environment Dynamics Decomposition World Models for Continuous Control
Jianye Hao
Yifu Yuan
Cong Wang
Zhen Wang
OffRL
217
3
0
06 Dec 2021
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Learning Domain Invariant Representations in Goal-conditioned Block MDPs
Beining Han
Chongyi Zheng
Harris Chan
Keiran Paster
Michael Ruogu Zhang
Jimmy Ba
OODAI4CE
303
16
0
27 Oct 2021
Goal-Aware Cross-Entropy for Multi-Target Reinforcement Learning
Goal-Aware Cross-Entropy for Multi-Target Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2021
Kibeom Kim
Min Whoo Lee
Yoonsung Kim
Je-hwan Ryu
Minsu Lee
Byoung-Tak Zhang
187
10
0
25 Oct 2021
Comparing Reconstruction- and Contrastive-based Models for Visual Task
  Planning
Comparing Reconstruction- and Contrastive-based Models for Visual Task Planning
Constantinos Chamzas
M. Lippi
Michael C. Welle
Anastasia Varava
Lydia E. Kavraki
Danica Kragic
SSLDRLOffRL
193
5
0
14 Sep 2021
Language Grounding with 3D Objects
Language Grounding with 3D ObjectsConference on Robot Learning (CoRL), 2021
Jesse Thomason
Mohit Shridhar
Yonatan Bisk
Chris Paxton
Luke Zettlemoyer
LM&Ro
220
55
0
26 Jul 2021
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of
  Sparse Reward Iterative Tasks
LS3: Latent Space Safe Sets for Long-Horizon Visuomotor Control of Sparse Reward Iterative TasksConference on Robot Learning (CoRL), 2021
Albert Wilcox
Ashwin Balakrishna
Brijen Thananjeyan
Joseph E. Gonzalez
Ken Goldberg
247
13
0
10 Jul 2021
Model-Advantage and Value-Aware Models for Model-Based Reinforcement
  Learning: Bridging the Gap in Theory and Practice
Model-Advantage and Value-Aware Models for Model-Based Reinforcement Learning: Bridging the Gap in Theory and Practice
Nirbhay Modhe
Harish Kamath
Dhruv Batra
Ashwin Kalyan
OffRL
178
2
0
26 Jun 2021
Physion: Evaluating Physical Prediction from Vision in Humans and
  Machines
Physion: Evaluating Physical Prediction from Vision in Humans and Machines
Daniel M. Bear
E. Wang
Damian Mrowca
Felix Binder
Hsiau-Yu Fish Tung
...
Li Fei-Fei
Nancy Kanwisher
J. Tenenbaum
Daniel L. K. Yamins
Judith E. Fan
OOD
554
121
0
15 Jun 2021
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks
MapGo: Model-Assisted Policy Optimization for Goal-Oriented TasksInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Menghui Zhu
Minghuan Liu
Jian Shen
Zhicheng Zhang
Sheng Chen
Weinan Zhang
Deheng Ye
Yong Yu
Qiang Fu
Wei Yang
226
24
0
13 May 2021
DisCo RL: Distribution-Conditioned Reinforcement Learning for
  General-Purpose Policies
DisCo RL: Distribution-Conditioned Reinforcement Learning for General-Purpose PoliciesIEEE International Conference on Robotics and Automation (ICRA), 2021
Soroush Nasiriany
Vitchyr H. Pong
Ashvin Nair
Alexander Khazatsky
Glen Berseth
Sergey Levine
OffRL
305
15
0
23 Apr 2021
Discriminator Augmented Model-Based Reinforcement Learning
Discriminator Augmented Model-Based Reinforcement Learning
Behzad Haghgoo
Allan Zhou
Archit Sharma
Chelsea Finn
OffRL
160
3
0
24 Mar 2021
Greedy Hierarchical Variational Autoencoders for Large-Scale Video
  Prediction
Greedy Hierarchical Variational Autoencoders for Large-Scale Video PredictionComputer Vision and Pattern Recognition (CVPR), 2021
Bohan Wu
Suraj Nair
Roberto Martin-Martin
Li Fei-Fei
Chelsea Finn
DRL
350
114
0
06 Mar 2021
VisuoSpatial Foresight for Physical Sequential Fabric Manipulation
VisuoSpatial Foresight for Physical Sequential Fabric ManipulationAutonomous Robots (Auton. Robots), 2021
Ryan Hoque
Daniel Seita
Ashwin Balakrishna
Aditya Ganapathi
A. Tanwani
Nawid Jamali
K. Yamane
Soshi Iba
Ken Goldberg
164
43
0
19 Feb 2021
Learning Intuitive Physics with Multimodal Generative Models
Learning Intuitive Physics with Multimodal Generative ModelsAAAI Conference on Artificial Intelligence (AAAI), 2021
S. Rezaei-Shoshtari
F. Hogan
M. Jenkin
David Meger
Gregory Dudek
575
9
0
12 Jan 2021
C-Learning: Learning to Achieve Goals via Recursive Classification
C-Learning: Learning to Achieve Goals via Recursive ClassificationInternational Conference on Learning Representations (ICLR), 2020
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
302
87
0
17 Nov 2020
Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones
Recovery RL: Safe Reinforcement Learning with Learned Recovery ZonesIEEE Robotics and Automation Letters (RA-L), 2020
Brijen Thananjeyan
Ashwin Balakrishna
Suraj Nair
Michael Luo
K. Srinivasan
M. Hwang
Joseph E. Gonzalez
Julian Ibarz
Chelsea Finn
Ken Goldberg
OffRL
315
272
0
29 Oct 2020
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