Feature Reinforcement Learning: Part I: Unstructured MDPs

9 June 2009

Marcus Hutter

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

24 / 24 papers shown

Title
Dynamic Knowledge Injection for AIXI Agents Samuel Yang-Zhao Kee Siong Ng Marcus Hutter 25 0 0 18 Dec 2023
Learning non-Markovian Decision-Making from State-only Sequences Aoyang Qin Feng Gao Qing Li Song-Chun Zhu Sirui Xie 75 9 0 27 Jun 2023
Unlocking the Power of Representations in Long-term Novelty-based Exploration Alaa Saade Steven Kapturowski Daniele Calandriello Charles Blundell Pablo Sprechmann Leopoldo Sarra Oliver Groth Michal Valko Bilal Piot OffRL 128 6 0 02 May 2023
A Direct Approximation of AIXI Using Logical State Abstractions Samuel Yang-Zhao Tianyu Wang K. S. Ng 33 3 0 13 Oct 2022
BYOL-Explore: Exploration by Bootstrapped Prediction Z. Guo S. Thakoor Miruna Pislar Bernardo Avila-Pires Florent Altché ... Yunhao Tang Michal Valko Rémi Munos M. G. Azar Bilal Piot 106 73 0 16 Jun 2022
Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes Alessandro Ronca G. Licks Giuseppe De Giacomo 44 10 0 29 Apr 2022
Reducing Planning Complexity of General Reinforcement Learning with Non-Markovian Abstractions Sultan Javed Majeed Marcus Hutter OffRL 137 0 0 26 Dec 2021
Exact Reduction of Huge Action Spaces in General Reinforcement Learning Sultan Javed Majeed Marcus Hutter OffRL 35 8 0 18 Dec 2020
Value Driven Representation for Human-in-the-Loop Reinforcement Learning Ramtin Keramati Emma Brunskill OffRL 36 3 0 02 Apr 2020
A Geometric Perspective on Optimal Representations for Reinforcement Learning Marc G. Bellemare Will Dabney Robert Dadashi Adrien Ali Taïga Pablo Samuel Castro Nicolas Le Roux Dale Schuurmans Tor Lattimore Clare Lyle 67 90 0 31 Jan 2019
Performance Guarantees for Homomorphisms Beyond Markov Decision Processes Sultan Javed Majeed Marcus Hutter 27 9 0 09 Nov 2018
Bayesian Nonparametric Feature and Policy Learning for Decision-Making Jürgen T. Hahn A. Zoubir 33 0 0 26 Feb 2017
Nonparametric General Reinforcement Learning Jan Leike OffRL 105 26 0 28 Nov 2016
Projective simulation with generalization A. Melnikov A. Makmal Vedran Dunjko Hans J. Briegel 66 42 0 09 Apr 2015
Ethical Artificial Intelligence B. Hibbard 178 10 0 05 Nov 2014
Extreme State Aggregation Beyond MDPs Marcus Hutter 179 23 0 12 Jul 2014
Selecting Near-Optimal Approximate State Representations in Reinforcement Learning R. Ortner Odalric-Ambrym Maillard D. Ryabko 238 27 0 12 May 2014
Unsupervised model-free representation learning D. Ryabko CML AI4TS 48 2 0 17 Apr 2013
Optimal Regret Bounds for Selecting the State Representation in Reinforcement Learning Odalric-Ambrym Maillard P. Nguyen R. Ortner D. Ryabko 128 30 0 11 Feb 2013
Selecting the State-Representation in Reinforcement Learning Odalric-Ambrym Maillard Rémi Munos D. Ryabko 90 40 0 11 Feb 2013
One Decade of Universal Artificial Intelligence Marcus Hutter 80 45 0 28 Feb 2012
Model-based Utility Functions B. Hibbard 141 48 0 16 Nov 2011
Feature Reinforcement Learning In Practice P. Nguyen P. Sunehag Marcus Hutter OOD 180 16 0 18 Aug 2011
Consistency of Feature Markov Processes P. Sunehag Marcus Hutter AI4TS 169 18 0 13 Jul 2010