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Learning World Models for Unconstrained Goal Navigation

Learning World Models for Unconstrained Goal Navigation

3 November 2024
Yuanlin Duan
Wensen Mao
He Zhu
ArXivPDFHTML

Papers citing "Learning World Models for Unconstrained Goal Navigation"

26 / 26 papers shown
Title
STORM: Efficient Stochastic Transformer based World Models for
  Reinforcement Learning
STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning
Weipu Zhang
Gang Wang
Jian Sun
Yetian Yuan
Gao Huang
69
42
0
14 Oct 2023
Curious Replay for Model-based Adaptation
Curious Replay for Model-based Adaptation
Isaac Kauvar
Christopher Doyle
Linqi Zhou
Nick Haber
48
12
0
28 Jun 2023
Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy
Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy
Xiyao Wang
Wichayaporn Wongkamjan
Furong Huang
53
19
0
25 Jul 2022
Temporal Difference Learning for Model Predictive Control
Temporal Difference Learning for Model Predictive Control
Nicklas Hansen
Xiaolong Wang
H. Su
PINN
MU
79
243
0
09 Mar 2022
Imaginary Hindsight Experience Replay: Curious Model-based Learning for
  Sparse Reward Tasks
Imaginary Hindsight Experience Replay: Curious Model-based Learning for Sparse Reward Tasks
Robert McCarthy
Qiang Wang
S. Redmond
OffRL
46
15
0
05 Oct 2021
Mastering Atari with Discrete World Models
Mastering Atari with Discrete World Models
Danijar Hafner
Timothy Lillicrap
Mohammad Norouzi
Jimmy Ba
DRL
95
852
0
05 Oct 2020
Goal-Aware Prediction: Learning to Model What Matters
Goal-Aware Prediction: Learning to Model What Matters
Suraj Nair
Silvio Savarese
Chelsea Finn
62
65
0
14 Jul 2020
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
Learning with AMIGo: Adversarially Motivated Intrinsic Goals
Andres Campero
Roberta Raileanu
Heinrich Küttler
J. Tenenbaum
Tim Rocktaschel
Edward Grefenstette
76
127
0
22 Jun 2020
Automatic Curriculum Learning through Value Disagreement
Automatic Curriculum Learning through Value Disagreement
Yunzhi Zhang
Pieter Abbeel
Lerrel Pinto
65
107
0
17 Jun 2020
MOPO: Model-based Offline Policy Optimization
MOPO: Model-based Offline Policy Optimization
Tianhe Yu
G. Thomas
Lantao Yu
Stefano Ermon
James Zou
Sergey Levine
Chelsea Finn
Tengyu Ma
OffRL
74
764
0
27 May 2020
Dream to Control: Learning Behaviors by Latent Imagination
Dream to Control: Learning Behaviors by Latent Imagination
Danijar Hafner
Timothy Lillicrap
Jimmy Ba
Mohammad Norouzi
VLM
108
1,349
0
03 Dec 2019
When to Trust Your Model: Model-Based Policy Optimization
When to Trust Your Model: Model-Based Policy Optimization
Michael Janner
Justin Fu
Marvin Zhang
Sergey Levine
OffRL
83
948
0
19 Jun 2019
Exploration via Hindsight Goal Generation
Exploration via Hindsight Goal Generation
Zhizhou Ren
Kefan Dong
Yuanshuo Zhou
Qiang Liu
Jian-wei Peng
64
89
0
10 Jun 2019
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
Curiosity-Driven Multi-Criteria Hindsight Experience Replay
John Lanier
Stephen Marcus McAleer
Pierre Baldi
OffRL
47
25
0
09 Jun 2019
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr H. Pong
Murtaza Dalal
Steven Lin
Ashvin Nair
Shikhar Bahl
Sergey Levine
OffRL
SSL
71
276
0
08 Mar 2019
Learning Latent Dynamics for Planning from Pixels
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner
Timothy Lillicrap
Ian S. Fischer
Ruben Villegas
David R Ha
Honglak Lee
James Davidson
BDL
84
1,430
0
12 Nov 2018
Plan Online, Learn Offline: Efficient Learning and Exploration via
  Model-Based Control
Plan Online, Learn Offline: Efficient Learning and Exploration via Model-Based Control
Kendall Lowrey
Aravind Rajeswaran
Sham Kakade
G. Haro
Igor Mordatch
OffRL
61
225
0
05 Nov 2018
Model-Based Active Exploration
Model-Based Active Exploration
Pranav Shyam
Wojciech Ja'skowski
Faustino J. Gomez
73
179
0
29 Oct 2018
Model-Ensemble Trust-Region Policy Optimization
Model-Ensemble Trust-Region Policy Optimization
Thanard Kurutach
I. Clavera
Yan Duan
Aviv Tamar
Pieter Abbeel
75
451
0
28 Feb 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
131
1,768
0
05 Dec 2017
Overcoming Exploration in Reinforcement Learning with Demonstrations
Overcoming Exploration in Reinforcement Learning with Demonstrations
Ashvin Nair
Bob McGrew
Marcin Andrychowicz
Wojciech Zaremba
Pieter Abbeel
OffRL
88
783
0
28 Sep 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
245
2,322
0
05 Jul 2017
Automatic Goal Generation for Reinforcement Learning Agents
Automatic Goal Generation for Reinforcement Learning Agents
Carlos Florensa
David Held
Xinyang Geng
Pieter Abbeel
102
513
0
17 May 2017
Curiosity-driven Exploration by Self-supervised Prediction
Curiosity-driven Exploration by Self-supervised Prediction
Deepak Pathak
Pulkit Agrawal
Alexei A. Efros
Trevor Darrell
LRM
SSL
106
2,433
0
15 May 2017
Unifying Count-Based Exploration and Intrinsic Motivation
Unifying Count-Based Exploration and Intrinsic Motivation
Marc G. Bellemare
S. Srinivasan
Georg Ostrovski
Tom Schaul
D. Saxton
Rémi Munos
167
1,473
0
06 Jun 2016
Model Predictive Path Integral Control using Covariance Variable
  Importance Sampling
Model Predictive Path Integral Control using Covariance Variable Importance Sampling
Grady Williams
Andrew Aldrich
Evangelos Theodorou
62
150
0
03 Sep 2015
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