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Subgoal Search For Complex Reasoning Tasks

Subgoal Search For Complex Reasoning Tasks

25 August 2021
K. Czechowski
Tomasz Odrzygó'zd'z
Marek Zbysiñski
Michał Zawalski
Krzysztof Olejnik
Yuhuai Wu
Lukasz Kuciñski
Piotr Milo's
    ReLM
    LRM
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Papers citing "Subgoal Search For Complex Reasoning Tasks"

32 / 32 papers shown
Title
OptionZero: Planning with Learned Options
OptionZero: Planning with Learned Options
Po-Wei Huang
Pei-Chiun Peng
Hung Guei
Ti-Rong Wu
69
1
0
23 Feb 2025
What Matters in Hierarchical Search for Combinatorial Reasoning Problems?
What Matters in Hierarchical Search for Combinatorial Reasoning Problems?
Michał Zawalski
Gracjan Góral
Michał Tyrolski
Emilia Wisnios
Franciszek Budrowski
Marek Cygan
Łukasz Kuciński
Piotr Miłoś
52
0
0
05 Jun 2024
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement
  Learning
Landmark-Guided Subgoal Generation in Hierarchical Reinforcement Learning
Junsup Kim
Younggyo Seo
Jinwoo Shin
44
59
0
26 Oct 2021
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Goal-Conditioned Reinforcement Learning with Imagined Subgoals
Elliot Chane-Sane
Cordelia Schmid
Ivan Laptev
35
143
0
01 Jul 2021
Discovery of Options via Meta-Learned Subgoals
Discovery of Options via Meta-Learned Subgoals
Vivek Veeriah
Tom Zahavy
Matteo Hessel
Zhongwen Xu
Junhyuk Oh
Iurii Kemaev
H. V. Hasselt
David Silver
Satinder Singh
34
32
0
12 Feb 2021
World Model as a Graph: Learning Latent Landmarks for Planning
World Model as a Graph: Learning Latent Landmarks for Planning
Lunjun Zhang
Ge Yang
Bradly C. Stadie
DRL
33
73
0
25 Nov 2020
On the role of planning in model-based deep reinforcement learning
On the role of planning in model-based deep reinforcement learning
Jessica B. Hamrick
A. Friesen
Feryal M. P. Behbahani
A. Guez
Fabio Viola
Sims Witherspoon
Thomas W. Anthony
Lars Buesing
Petar Velickovic
T. Weber
OffRL
34
65
0
08 Nov 2020
INT: An Inequality Benchmark for Evaluating Generalization in Theorem
  Proving
INT: An Inequality Benchmark for Evaluating Generalization in Theorem Proving
Yuhuai Wu
Albert Qiaochu Jiang
Jimmy Ba
Roger C. Grosse
AIMat
42
55
0
06 Jul 2020
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical
  Predictors
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
Karl Pertsch
Oleh Rybkin
F. Ebert
Chelsea Finn
Dinesh Jayaraman
Sergey Levine
27
72
0
23 Jun 2020
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
Divide-and-Conquer Monte Carlo Tree Search For Goal-Directed Planning
Giambattista Parascandolo
Lars Buesing
J. Merel
Leonard Hasenclever
John Aslanides
Jessica B. Hamrick
N. Heess
Alexander Neitz
T. Weber
22
31
0
23 Apr 2020
Hallucinative Topological Memory for Zero-Shot Visual Planning
Hallucinative Topological Memory for Zero-Shot Visual Planning
Kara Liu
Thanard Kurutach
Christine Tung
Pieter Abbeel
Aviv Tamar
41
48
0
27 Feb 2020
Multilingual Denoising Pre-training for Neural Machine Translation
Multilingual Denoising Pre-training for Neural Machine Translation
Yinhan Liu
Jiatao Gu
Naman Goyal
Xian Li
Sergey Edunov
Marjan Ghazvininejad
M. Lewis
Luke Zettlemoyer
AI4CE
AIMat
88
1,786
0
22 Jan 2020
Uncertainty-sensitive Learning and Planning with Ensembles
Uncertainty-sensitive Learning and Planning with Ensembles
Piotr Milo's
Lukasz Kuciñski
K. Czechowski
Piotr Kozakowski
Maciek Klimek
OffRL
23
8
0
19 Dec 2019
Planning with Goal-Conditioned Policies
Planning with Goal-Conditioned Policies
Soroush Nasiriany
Vitchyr H. Pong
Steven Lin
Sergey Levine
OffRL
89
218
0
19 Nov 2019
Learning from Trajectories via Subgoal Discovery
Learning from Trajectories via Subgoal Discovery
S. Paul
J. Baar
Amit K. Roy-Chowdhury
98
48
0
03 Nov 2019
Dynamics Learning with Cascaded Variational Inference for Multi-Step
  Manipulation
Dynamics Learning with Cascaded Variational Inference for Multi-Step Manipulation
Kuan Fang
Yuke Zhu
Animesh Garg
Silvio Savarese
Li Fei-Fei
DRL
28
47
0
29 Oct 2019
Variational Temporal Abstraction
Variational Temporal Abstraction
Taesup Kim
Sungjin Ahn
Yoshua Bengio
DRL
57
65
0
02 Oct 2019
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks
  via Visual Subgoal Generation
Hierarchical Foresight: Self-Supervised Learning of Long-Horizon Tasks via Visual Subgoal Generation
Suraj Nair
Chelsea Finn
VGen
40
138
0
12 Sep 2019
Keyframing the Future: Keyframe Discovery for Visual Prediction and
  Planning
Keyframing the Future: Keyframe Discovery for Visual Prediction and Planning
Karl Pertsch
Oleh Rybkin
Jingyun Yang
Shenghao Zhou
Konstantinos G. Derpanis
Kostas Daniilidis
Joseph J. Lim
Andrew Jaegle
VGen
59
24
0
11 Apr 2019
An investigation of model-free planning
An investigation of model-free planning
A. Guez
M. Berk Mirza
Karol Gregor
Rishabh Kabra
S. Racanière
...
Laurent Orseau
Tom Eccles
Greg Wayne
David Silver
Timothy Lillicrap
OffRL
46
111
0
11 Jan 2019
Machine Learning for Combinatorial Optimization: a Methodological Tour
  d'Horizon
Machine Learning for Combinatorial Optimization: a Methodological Tour d'Horizon
Yoshua Bengio
Andrea Lodi
Antoine Prouvost
120
1,367
0
15 Nov 2018
Time-Agnostic Prediction: Predicting Predictable Video Frames
Time-Agnostic Prediction: Predicting Predictable Video Frames
Dinesh Jayaraman
F. Ebert
Alexei A. Efros
Sergey Levine
46
93
0
23 Aug 2018
Learning Plannable Representations with Causal InfoGAN
Learning Plannable Representations with Causal InfoGAN
Thanard Kurutach
Aviv Tamar
Ge Yang
Stuart J. Russell
Pieter Abbeel
GAN
DRL
38
180
0
24 Jul 2018
Semi-parametric Topological Memory for Navigation
Semi-parametric Topological Memory for Navigation
Nikolay Savinov
Alexey Dosovitskiy
V. Koltun
29
379
0
01 Mar 2018
Mastering Chess and Shogi by Self-Play with a General Reinforcement
  Learning Algorithm
Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
David Silver
Thomas Hubert
Julian Schrittwieser
Ioannis Antonoglou
Matthew Lai
...
D. Kumaran
T. Graepel
Timothy Lillicrap
Karen Simonyan
Demis Hassabis
79
1,755
0
05 Dec 2017
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed
  Autonomous Navigation
Intention-Net: Integrating Planning and Deep Learning for Goal-Directed Autonomous Navigation
Wei Gao
David Hsu
Wee Sun Lee
Shengmei Shen
K. Subramanian
39
116
0
16 Oct 2017
Imagination-Augmented Agents for Deep Reinforcement Learning
Imagination-Augmented Agents for Deep Reinforcement Learning
T. Weber
S. Racanière
David P. Reichert
Lars Buesing
A. Guez
...
Razvan Pascanu
Peter W. Battaglia
Demis Hassabis
David Silver
Daan Wierstra
LM&Ro
61
552
0
19 Jul 2017
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
213
2,307
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
223
129,831
0
12 Jun 2017
Automatic Goal Generation for Reinforcement Learning Agents
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa
David Held
Xinyang Geng
Pieter Abbeel
85
506
0
17 May 2017
Classical Planning in Deep Latent Space: Bridging the
  Subsymbolic-Symbolic Boundary
Classical Planning in Deep Latent Space: Bridging the Subsymbolic-Symbolic Boundary
Masataro Asai
A. Fukunaga
87
171
0
29 Apr 2017
FeUdal Networks for Hierarchical Reinforcement Learning
FeUdal Networks for Hierarchical Reinforcement Learning
A. Vezhnevets
Simon Osindero
Tom Schaul
N. Heess
Max Jaderberg
David Silver
Koray Kavukcuoglu
FedML
60
902
0
03 Mar 2017
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