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Feature Reinforcement Learning: Part I: Unstructured MDPs

Feature Reinforcement Learning: Part I: Unstructured MDPs

Journal of Artificial General Intelligence (JAGI), 2009
9 June 2009
Marcus Hutter
ArXiv (abs)PDFHTML

Papers citing "Feature Reinforcement Learning: Part I: Unstructured MDPs"

24 / 24 papers shown
Dynamic Knowledge Injection for AIXI Agents
Dynamic Knowledge Injection for AIXI Agents
Samuel Yang-Zhao
Kee Siong Ng
Marcus Hutter
210
0
0
18 Dec 2023
Learning non-Markovian Decision-Making from State-only Sequences
Learning non-Markovian Decision-Making from State-only SequencesNeural Information Processing Systems (NeurIPS), 2023
Aoyang Qin
Feng Gao
Qing Li
Song-Chun Zhu
Sirui Xie
407
13
0
27 Jun 2023
Unlocking the Power of Representations in Long-term Novelty-based
  Exploration
Unlocking the Power of Representations in Long-term Novelty-based ExplorationInternational Conference on Learning Representations (ICLR), 2023
Alaa Saade
Steven Kapturowski
Daniele Calandriello
Charles Blundell
Pablo Sprechmann
Leopoldo Sarra
Oliver Groth
Michal Valko
Bilal Piot
OffRL
429
10
0
02 May 2023
A Direct Approximation of AIXI Using Logical State Abstractions
A Direct Approximation of AIXI Using Logical State AbstractionsNeural Information Processing Systems (NeurIPS), 2022
Samuel Yang-Zhao
Tianyu Wang
K. S. Ng
201
3
0
13 Oct 2022
BYOL-Explore: Exploration by Bootstrapped Prediction
BYOL-Explore: Exploration by Bootstrapped PredictionNeural Information Processing Systems (NeurIPS), 2022
Z. Guo
S. Thakoor
Miruna Pislar
Bernardo Avila-Pires
Florent Altché
...
Yunhao Tang
Michal Valko
Rémi Munos
M. G. Azar
Bilal Piot
354
92
0
16 Jun 2022
Markov Abstractions for PAC Reinforcement Learning in Non-Markov
  Decision Processes
Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision ProcessesInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Alessandro Ronca
G. Licks
Giuseppe De Giacomo
289
16
0
29 Apr 2022
Reducing Planning Complexity of General Reinforcement Learning with
  Non-Markovian Abstractions
Reducing Planning Complexity of General Reinforcement Learning with Non-Markovian Abstractions
Sultan Javed Majeed
Marcus Hutter
OffRL
244
0
0
26 Dec 2021
Exact Reduction of Huge Action Spaces in General Reinforcement Learning
Exact Reduction of Huge Action Spaces in General Reinforcement LearningAAAI Conference on Artificial Intelligence (AAAI), 2020
Sultan Javed Majeed
Marcus Hutter
OffRL
192
18
0
18 Dec 2020
Value Driven Representation for Human-in-the-Loop Reinforcement Learning
Value Driven Representation for Human-in-the-Loop Reinforcement LearningUser Modeling, Adaptation, and Personalization (UMAP), 2019
Ramtin Keramati
Emma Brunskill
OffRL
252
4
0
02 Apr 2020
A Geometric Perspective on Optimal Representations for Reinforcement
  Learning
A Geometric Perspective on Optimal Representations for Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2019
Marc G. Bellemare
Will Dabney
Robert Dadashi
Adrien Ali Taïga
Pablo Samuel Castro
Nicolas Le Roux
Dale Schuurmans
Tor Lattimore
Clare Lyle
250
95
0
31 Jan 2019
Performance Guarantees for Homomorphisms Beyond Markov Decision
  Processes
Performance Guarantees for Homomorphisms Beyond Markov Decision ProcessesAAAI Conference on Artificial Intelligence (AAAI), 2018
Sultan Javed Majeed
Marcus Hutter
132
9
0
09 Nov 2018
Bayesian Nonparametric Feature and Policy Learning for Decision-Making
Bayesian Nonparametric Feature and Policy Learning for Decision-Making
Jürgen T. Hahn
A. Zoubir
132
0
0
26 Feb 2017
Nonparametric General Reinforcement Learning
Nonparametric General Reinforcement Learning
Jan Leike
OffRL
299
29
0
28 Nov 2016
Projective simulation with generalization
Projective simulation with generalizationScientific Reports (Sci Rep), 2015
A. Melnikov
A. Makmal
Vedran Dunjko
Hans J. Briegel
338
46
0
09 Apr 2015
Ethical Artificial Intelligence
Ethical Artificial Intelligence
B. Hibbard
942
10
0
05 Nov 2014
Extreme State Aggregation Beyond MDPs
Extreme State Aggregation Beyond MDPsInternational Conference on Algorithmic Learning Theory (ALT), 2014
Marcus Hutter
442
23
0
12 Jul 2014
Selecting Near-Optimal Approximate State Representations in
  Reinforcement Learning
Selecting Near-Optimal Approximate State Representations in Reinforcement LearningInternational Conference on Algorithmic Learning Theory (ALT), 2014
R. Ortner
Odalric-Ambrym Maillard
D. Ryabko
683
28
0
12 May 2014
Unsupervised model-free representation learning
Unsupervised model-free representation learningInternational Conference on Algorithmic Learning Theory (ALT), 2013
D. Ryabko
CMLAI4TS
380
2
0
17 Apr 2013
Optimal Regret Bounds for Selecting the State Representation in
  Reinforcement Learning
Optimal Regret Bounds for Selecting the State Representation in Reinforcement LearningInternational Conference on Machine Learning (ICML), 2013
Odalric-Ambrym Maillard
P. Nguyen
R. Ortner
D. Ryabko
376
30
0
11 Feb 2013
Selecting the State-Representation in Reinforcement Learning
Selecting the State-Representation in Reinforcement LearningNeural Information Processing Systems (NeurIPS), 2011
Odalric-Ambrym Maillard
Rémi Munos
D. Ryabko
238
43
0
11 Feb 2013
One Decade of Universal Artificial Intelligence
One Decade of Universal Artificial Intelligence
Marcus Hutter
303
45
0
28 Feb 2012
Model-based Utility Functions
Model-based Utility FunctionsJournal of Artificial General Intelligence (JAGI), 2011
B. Hibbard
409
50
0
16 Nov 2011
Feature Reinforcement Learning In Practice
Feature Reinforcement Learning In Practice
P. Nguyen
P. Sunehag
Marcus Hutter
OOD
486
18
0
18 Aug 2011
Consistency of Feature Markov Processes
Consistency of Feature Markov Processes
P. Sunehag
Marcus Hutter
AI4TS
377
19
0
13 Jul 2010
1
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