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1
Feature reinforcement learning using looping suffix trees
Daswani, Mayank; Sunehag, Peter; Hutter, Marcus. - : Journal of Machine Learning Research, 2015
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2
Consistency of Feature Markov Processes
Sunehag, Peter; Hutter, Marcus. - : Springer Verlag, 2015
Abstract: We are studying long term sequence prediction (forecasting). We approach this by investigating criteria for choosing a compact useful state representation. The state is supposed to summarize useful information from the history. We want a method that is asymptotically consistent in the sense it will provably eventually only choose between alternatives that satisfy an optimality property related to the used criterion. We extend our work to the case where there is side information that one can take advantage of and, furthermore, we briefly discuss the active setting where an agent takes actions to achieve desirable outcomes.
Keyword: asymptotic consistency; ergodicity; Finite State Machine (FSM); Hidden Markov Model (HMM); Markov Process (MP); model selection; Penalized Maximum Likelihood (PML); Probabilistic Deterministic Finite State Automata (PDFA); reinforcement learning; suffix trees
URL: http://hdl.handle.net/1885/14900
https://doi.org/10.1007/978-3-642-16108-7_29
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3
A Monte-Carlo AIXI Approximation
In: Journal of Artificial Intelligence Research (2015)
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4
A Monte-Carlo AIXI Approximation
In: Journal of Artificial Intelligence Research (2015)
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5
Reinforcement learning via AIXI Approximation
Veness, Joel; Ng, Kee Siong; Hutter, Marcus. - : AAAI Press, 2015
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6
Feature Reinforcement Leaning using Looping Suffix Trees
In: JMLR: Workshop and Conference Proceedings (2015)
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7
Reinforcement learning via AIXI Approximation
Veness, Joel; Ng, Kee Siong; Hutter, Marcus. - : AAAI Press, 2015
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8
Feature Reinforcement Leaning using Looping Suffix Trees
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9
Consistency of Feature Markov Processes
Sunehag, Peter; Hutter, Marcus. - : Springer Verlag, 2015
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10
Feature reinforcement learning using looping suffix trees
Daswani, Mayank; Sunehag, Peter; Hutter, Marcus. - : Journal of Machine Learning Research, 2015
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11
Tests of machine intelligence
Legg, Shane; Hutter, Marcus. - : Springer Verlag, 2015
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12
Can intelligence explode?
In: Journal of Consciousness Studies (2015)
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13
Universal intelligence: A definition of machine intelligence
In: Minds and Machines: journal for artificial intelligence, philosophy and cognitive sciences (2015)
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14
Can intelligence explode?
In: Journal of Consciousness Studies (2015)
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15
Universal intelligence: a definition of machine intelligence
In: Minds and Machines (2015)
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16
Universal intelligence: a definition of machine intelligence
In: Minds and Machines (2015)
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17
Open problems in universal induction & intelligence
In: Algorithms (2015)
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18
Open Problems in Universal Induction & Intelligence
In: Algorithms (2015)
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19
Artificial general intelligence: Proceedings of the Second Conference on Artificial General Intelligence, AGI 2009, Arlington, Virginia, USA, March 6-9, 2009
Goertzel, Ben; Hitzler, Pascal; Hutter, Marcus. - : Atlantis Press, 2015
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20
Universal intelligence: A definition of machine intelligence
In: Minds and Machines: journal for artificial intelligence, philosophy and cognitive sciences (2015)
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