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Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning

Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning

6 May 2025
Caleb Chuck
Fan Feng
Carl Qi
Chang Shi
Siddhant Agarwal
Amy Zhang
S. Niekum
ArXiv (abs)PDFHTML

Papers citing "Null Counterfactual Factor Interactions for Goal-Conditioned Reinforcement Learning"

22 / 22 papers shown
Title
PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation
PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation
Shaowei Liu
Zhongzheng Ren
Saurabh Gupta
Shenlong Wang
VGenDiffMPINN
96
50
0
27 Sep 2024
SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
SMORE: Score Models for Offline Goal-Conditioned Reinforcement Learning
Harshit S. Sikchi
Rohan Chitnis
Ahmed Touati
A. Geramifard
Amy Zhang
S. Niekum
OffRL
104
9
0
03 Nov 2023
Causal Dynamics Learning for Task-Independent State Abstraction
Causal Dynamics Learning for Task-Independent State Abstraction
Zizhao Wang
Xuesu Xiao
Zifan Xu
Yuke Zhu
Peter Stone
CML
78
58
0
27 Jun 2022
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via
  $f$-Advantage Regression
How Far I'll Go: Offline Goal-Conditioned Reinforcement Learning via fff-Advantage Regression
Yecheng Jason Ma
Jason Yan
Dinesh Jayaraman
Osbert Bastani
OffRL
80
58
0
07 Jun 2022
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Goal-Conditioned Reinforcement Learning: Problems and Solutions
Minghuan Liu
Menghui Zhu
Weinan Zhang
93
143
0
20 Jan 2022
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Elliot Chane-Sane
Cordelia Schmid
Ivan Laptev
77
144
0
01 Jul 2021
Causal Influence Detection for Improving Efficiency in Reinforcement
  Learning
Causal Influence Detection for Improving Efficiency in Reinforcement Learning
Maximilian Seitzer
Bernhard Schölkopf
Georg Martius
CML
89
78
0
07 Jun 2021
What Can I Do Here? Learning New Skills by Imagining Visual Affordances
What Can I Do Here? Learning New Skills by Imagining Visual Affordances
Alexander Khazatsky
Ashvin Nair
Dan Jing
Sergey Levine
LM&Ro
56
33
0
01 Jun 2021
Causal Sufficiency and Actual Causation
Causal Sufficiency and Actual Causation
Sander Beckers
47
37
0
03 Feb 2021
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
Yuke Zhu
J. Wong
Ajay Mandlekar
Roberto Martín-Martín
Abhishek Joshi
Soroush Nasiriany
Yifeng Zhu
Soroush Nasiriany
Yifeng Zhu
177
445
0
25 Sep 2020
CoPhy: Counterfactual Learning of Physical Dynamics
CoPhy: Counterfactual Learning of Physical Dynamics
Fabien Baradel
Natalia Neverova
J. Mille
Greg Mori
Christian Wolf
CMLAI4CE
120
97
0
26 Sep 2019
COBRA: Data-Efficient Model-Based RL through Unsupervised Object
  Discovery and Curiosity-Driven Exploration
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration
Nicholas Watters
Loic Matthey
Matko Bosnjak
Christopher P. Burgess
Alexander Lerchner
OffRL
114
118
0
22 May 2019
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
Maximum Entropy-Regularized Multi-Goal Reinforcement Learning
Rui Zhao
Xudong Sun
Volker Tresp
63
83
0
21 May 2019
Curiosity-Driven Experience Prioritization via Density Estimation
Curiosity-Driven Experience Prioritization via Density Estimation
Rui Zhao
Volker Tresp
120
55
0
20 Feb 2019
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Woulda, Coulda, Shoulda: Counterfactually-Guided Policy Search
Lars Buesing
T. Weber
Yori Zwols
S. Racanière
A. Guez
Jean-Baptiste Lespiau
N. Heess
CML
115
138
0
15 Nov 2018
Hindsight Experience Replay
Hindsight Experience Replay
Marcin Andrychowicz
Dwight Crow
Alex Ray
Jonas Schneider
Rachel Fong
Peter Welinder
Bob McGrew
Joshua Tobin
Pieter Abbeel
Wojciech Zaremba
OffRL
280
2,339
0
05 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
795
132,454
0
12 Jun 2017
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH3DPC3DVPINN
493
14,371
0
02 Dec 2016
Semi-Supervised Classification with Graph Convolutional Networks
Semi-Supervised Classification with Graph Convolutional Networks
Thomas Kipf
Max Welling
GNNSSL
671
29,183
0
09 Sep 2016
Prioritized Experience Replay
Prioritized Experience Replay
Tom Schaul
John Quan
Ioannis Antonoglou
David Silver
OffRL
231
3,796
0
18 Nov 2015
Continuous control with deep reinforcement learning
Continuous control with deep reinforcement learning
Timothy Lillicrap
Jonathan J. Hunt
Alexander Pritzel
N. Heess
Tom Erez
Yuval Tassa
David Silver
Daan Wierstra
327
13,289
0
09 Sep 2015
Context-Specific Independence in Bayesian Networks
Context-Specific Independence in Bayesian Networks
Craig Boutilier
N. Friedman
M. Goldszmidt
D. Koller
199
823
0
13 Feb 2013
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