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Model-Based Active Exploration

Model-Based Active Exploration

29 October 2018
Pranav Shyam
Wojciech Ja'skowski
Faustino J. Gomez
ArXivPDFHTML

Papers citing "Model-Based Active Exploration"

50 / 133 papers shown
Title
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures
Uncertainty-aware Latent Safety Filters for Avoiding Out-of-Distribution Failures
Junwon Seo
Kensuke Nakamura
Andrea V. Bajcsy
56
0
0
01 May 2025
Disentangling Uncertainties by Learning Compressed Data Representation
Disentangling Uncertainties by Learning Compressed Data Representation
Zhiyu An
Zhibo Hou
Wan Du
UQCV
UD
71
0
0
20 Mar 2025
Grounding Video Models to Actions through Goal Conditioned Exploration
Grounding Video Models to Actions through Goal Conditioned Exploration
Yunhao Luo
Yilun Du
LM&Ro
VGen
85
1
0
11 Nov 2024
Learning World Models for Unconstrained Goal Navigation
Learning World Models for Unconstrained Goal Navigation
Yuanlin Duan
Wensen Mao
He Zhu
34
1
0
03 Nov 2024
Exploring the Edges of Latent State Clusters for Goal-Conditioned
  Reinforcement Learning
Exploring the Edges of Latent State Clusters for Goal-Conditioned Reinforcement Learning
Yuanlin Duan
Guofeng Cui
He Zhu
OffRL
34
0
0
03 Nov 2024
Online Intrinsic Rewards for Decision Making Agents from Large Language
  Model Feedback
Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback
Qinqing Zheng
Mikael Henaff
Amy Zhang
Aditya Grover
Brandon Amos
LLMAG
OffRL
37
3
0
30 Oct 2024
Prioritized Generative Replay
Prioritized Generative Replay
Renhao Wang
Kevin Frans
Pieter Abbeel
Sergey Levine
Alexei A. Efros
OnRL
DiffM
114
2
0
23 Oct 2024
R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active
  Inference and World Models
R-AIF: Solving Sparse-Reward Robotic Tasks from Pixels with Active Inference and World Models
Viet Dung Nguyen
Zhizhuo Yang
Christopher L. Buckley
Alexander Ororbia
39
2
0
21 Sep 2024
Physics-Driven AI Correction in Laser Absorption Sensing Quantification
Physics-Driven AI Correction in Laser Absorption Sensing Quantification
Ruiyuan Kang
P. Liatsis
Meixia Geng
Qingjie Yang
45
0
0
20 Aug 2024
Boosting Efficiency in Task-Agnostic Exploration through Causal
  Knowledge
Boosting Efficiency in Task-Agnostic Exploration through Causal Knowledge
Yupei Yang
Erdun Gao
Shikui Tu
Lei Xu
CML
37
1
0
30 Jul 2024
Mixture of Experts in a Mixture of RL settings
Mixture of Experts in a Mixture of RL settings
Timon Willi
J. Obando-Ceron
Jakob Foerster
Karolina Dziugaite
Pablo Samuel Castro
MoE
46
7
0
26 Jun 2024
Open-Endedness is Essential for Artificial Superhuman Intelligence
Open-Endedness is Essential for Artificial Superhuman Intelligence
Edward Hughes
Michael Dennis
Jack Parker-Holder
Feryal M. P. Behbahani
Aditi Mavalankar
Yuge Shi
Tom Schaul
Tim Rocktaschel
LRM
40
21
0
06 Jun 2024
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned
  Reinforcement Learning
Goal Exploration via Adaptive Skill Distribution for Goal-Conditioned Reinforcement Learning
Lisheng Wu
Ke Chen
29
0
0
19 Apr 2024
ASID: Active Exploration for System Identification in Robotic
  Manipulation
ASID: Active Exploration for System Identification in Robotic Manipulation
Marius Memmel
Andrew Wagenmaker
Chuning Zhu
Patrick Yin
Dieter Fox
Abhishek Gupta
40
13
0
18 Apr 2024
Active Exploration in Bayesian Model-based Reinforcement Learning for
  Robot Manipulation
Active Exploration in Bayesian Model-based Reinforcement Learning for Robot Manipulation
Carlos Plou
Ana C. Murillo
Ruben Martinez-Cantin
OffRL
40
0
0
02 Apr 2024
Learning Off-policy with Model-based Intrinsic Motivation For Active
  Online Exploration
Learning Off-policy with Model-based Intrinsic Motivation For Active Online Exploration
Yibo Wang
Jiang Zhao
OffRL
OnRL
25
0
0
31 Mar 2024
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User
  Experiences in Recommender Systems
UOEP: User-Oriented Exploration Policy for Enhancing Long-Term User Experiences in Recommender Systems
Changshuo Zhang
Sirui Chen
Xiao Zhang
Sunhao Dai
Weijie Yu
Jun Xu
OffRL
35
1
0
17 Jan 2024
Grow Your Limits: Continuous Improvement with Real-World RL for Robotic
  Locomotion
Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion
Laura M. Smith
Yunhao Cao
Sergey Levine
OffRL
30
19
0
26 Oct 2023
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
METRA: Scalable Unsupervised RL with Metric-Aware Abstraction
Seohong Park
Oleh Rybkin
Sergey Levine
OffRL
33
34
0
13 Oct 2023
Generative Intrinsic Optimization: Intrinsic Control with Model Learning
Generative Intrinsic Optimization: Intrinsic Control with Model Learning
Jianfei Ma
18
0
0
12 Oct 2023
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically
  for Model-Based RL
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
Xiyao Wang
Ruijie Zheng
Yanchao Sun
Ruonan Jia
Wichayaporn Wongkamjan
Huazhe Xu
Furong Huang
OffRL
54
12
0
11 Oct 2023
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement
  Learning
Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning
Trevor A. McInroe
Adam Jelley
Stefano V. Albrecht
Amos Storkey
OffRL
OnRL
25
6
0
09 Oct 2023
Reward Model Ensembles Help Mitigate Overoptimization
Reward Model Ensembles Help Mitigate Overoptimization
Thomas Coste
Usman Anwar
Robert Kirk
David M. Krueger
NoLa
ALM
28
116
0
04 Oct 2023
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation
Physics-Driven ML-Based Modelling for Correcting Inverse Estimation
Ruiyuan Kang
Tingting Mu
P. Liatsis
D. Kyritsis
31
2
0
25 Sep 2023
IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on
  Analyses of Interestingness
IxDRL: A Novel Explainable Deep Reinforcement Learning Toolkit based on Analyses of Interestingness
Pedro Sequeira
Melinda Gervasio
15
2
0
18 Jul 2023
Active Sensing with Predictive Coding and Uncertainty Minimization
Active Sensing with Predictive Coding and Uncertainty Minimization
A. Sharafeldin
N. Imam
Hannah Choi
20
2
0
02 Jul 2023
Safe Navigation in Unstructured Environments by Minimizing Uncertainty
  in Control and Perception
Safe Navigation in Unstructured Environments by Minimizing Uncertainty in Control and Perception
Junwon Seo
Jungwi Mun
Taekyung Kim
20
4
0
26 Jun 2023
Optimistic Active Exploration of Dynamical Systems
Optimistic Active Exploration of Dynamical Systems
Bhavya Sukhija
Lenart Treven
Cansu Sancaktar
Sebastian Blaes
Stelian Coros
Andreas Krause
29
17
0
21 Jun 2023
Reward-Free Curricula for Training Robust World Models
Reward-Free Curricula for Training Robust World Models
Marc Rigter
Minqi Jiang
Ingmar Posner
VLM
OffRL
36
6
0
15 Jun 2023
A Study of Global and Episodic Bonuses for Exploration in Contextual
  MDPs
A Study of Global and Episodic Bonuses for Exploration in Contextual MDPs
Mikael Henaff
Minqi Jiang
Roberta Raileanu
40
13
0
05 Jun 2023
What model does MuZero learn?
What model does MuZero learn?
Jinke He
Thomas M. Moerland
F. Oliehoek
33
4
0
01 Jun 2023
Statistically Efficient Bayesian Sequential Experiment Design via
  Reinforcement Learning with Cross-Entropy Estimators
Statistically Efficient Bayesian Sequential Experiment Design via Reinforcement Learning with Cross-Entropy Estimators
Tom Blau
Iadine Chadès
Amir Dezfouli
Daniel M. Steinberg
Edwin V. Bonilla
18
1
0
29 May 2023
Bridging Active Exploration and Uncertainty-Aware Deployment Using
  Probabilistic Ensemble Neural Network Dynamics
Bridging Active Exploration and Uncertainty-Aware Deployment Using Probabilistic Ensemble Neural Network Dynamics
Taekyung Kim
Jungwi Mun
Junwon Seo
Beomsu Kim
S. Hong
34
11
0
20 May 2023
FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems
FLEX: an Adaptive Exploration Algorithm for Nonlinear Systems
Matthieu Blanke
Marc Lelarge
31
4
0
26 Apr 2023
EEE, Remediating the failure of machine learning models via a
  network-based optimization patch
EEE, Remediating the failure of machine learning models via a network-based optimization patch
Ruiyuan Kang
D. Kyritsis
P. Liatsis
34
0
0
22 Apr 2023
Planning Goals for Exploration
Planning Goals for Exploration
E. Hu
Richard Chang
Oleh Rybkin
Dinesh Jayaraman
43
24
0
23 Mar 2023
A Survey of Historical Learning: Learning Models with Learning History
A Survey of Historical Learning: Learning Models with Learning History
Xiang Li
Ge Wu
Lingfeng Yang
Wenzhe Wang
Renjie Song
Jian Yang
MU
AI4TS
31
2
0
23 Mar 2023
Fast exploration and learning of latent graphs with aliased observations
Fast exploration and learning of latent graphs with aliased observations
Miguel Lazaro-Gredilla
Ishani Deshpande
Siva K. Swaminathan
Meet Dave
Dileep George
23
3
0
13 Mar 2023
Self-supervised network distillation: an effective approach to
  exploration in sparse reward environments
Self-supervised network distillation: an effective approach to exploration in sparse reward environments
Matej Pecháč
M. Chovanec
Igor Farkaš
32
3
0
22 Feb 2023
Predictable MDP Abstraction for Unsupervised Model-Based RL
Predictable MDP Abstraction for Unsupervised Model-Based RL
Seohong Park
Sergey Levine
19
9
0
08 Feb 2023
STEERING: Stein Information Directed Exploration for Model-Based
  Reinforcement Learning
STEERING: Stein Information Directed Exploration for Model-Based Reinforcement Learning
Souradip Chakraborty
Amrit Singh Bedi
Alec Koppel
Mengdi Wang
Furong Huang
Dinesh Manocha
24
7
0
28 Jan 2023
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief
  Review
Intrinsic Motivation in Model-based Reinforcement Learning: A Brief Review
Artem Latyshev
Aleksandr I. Panov
39
1
0
24 Jan 2023
Near-optimal Policy Identification in Active Reinforcement Learning
Near-optimal Policy Identification in Active Reinforcement Learning
Xiang Li
Viraj Mehta
Johannes Kirschner
I. Char
W. Neiswanger
J. Schneider
Andreas Krause
Ilija Bogunovic
OffRL
43
6
0
19 Dec 2022
Efficient Exploration in Resource-Restricted Reinforcement Learning
Efficient Exploration in Resource-Restricted Reinforcement Learning
Zhihai Wang
Taoxing Pan
Qi Zhou
Jie Wang
OffRL
15
10
0
14 Dec 2022
A Bayesian Framework for Digital Twin-Based Control, Monitoring, and
  Data Collection in Wireless Systems
A Bayesian Framework for Digital Twin-Based Control, Monitoring, and Data Collection in Wireless Systems
Clement Ruah
Osvaldo Simeone
Bashir M. Al-Hashimi
27
28
0
02 Dec 2022
Five Properties of Specific Curiosity You Didn't Know Curious Machines
  Should Have
Five Properties of Specific Curiosity You Didn't Know Curious Machines Should Have
Nadia M. Ady
R. Shariff
J. Günther
P. Pilarski
16
0
0
01 Dec 2022
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Curiosity in Hindsight: Intrinsic Exploration in Stochastic Environments
Daniel Jarrett
Corentin Tallec
Florent Altché
Thomas Mesnard
Rémi Munos
Michal Valko
48
5
0
18 Nov 2022
Exploring through Random Curiosity with General Value Functions
Exploring through Random Curiosity with General Value Functions
Aditya A. Ramesh
Louis Kirsch
Sjoerd van Steenkiste
Jürgen Schmidhuber
32
9
0
18 Nov 2022
Active Exploration for Robotic Manipulation
Active Exploration for Robotic Manipulation
Tim Schneider
Boris Belousov
Georgia Chalvatzaki
Diego Romeres
Devesh K. Jha
Jan Peters
39
10
0
23 Oct 2022
Learning General World Models in a Handful of Reward-Free Deployments
Learning General World Models in a Handful of Reward-Free Deployments
Yingchen Xu
Jack Parker-Holder
Aldo Pacchiano
Philip J. Ball
Oleh Rybkin
Stephen J. Roberts
Tim Rocktaschel
Edward Grefenstette
OffRL
55
9
0
23 Oct 2022
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