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Veness, Joel
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1

Reinforcement Learning with Information-Theoretic Actuation:

, In: Artificial General Intelligence; Lecture Notes in Computer Science,
Catt, Elliot ; Hutter, Marcus ; Veness, Joel - p. 188-198 , 2023
Link: https://doi.org/10.1007/..
 
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2

REPLY TO HUSZÁR: The elastic weight consolidation penalty i..:

Kirkpatrick, James ; Pascanu, Razvan ; Rabinowitz, Neil...
Proceedings of the National Academy of Sciences of the United States of America.  115 (2018)  11 - p. E2498 ff. , 2018
Link: https://www.jstor.org/st..
 
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3

Reply to Huszár: The elastic weight consolidation penalty i..:

Kirkpatrick, James ; Pascanu, Razvan ; Rabinowitz, Neil...
Proceedings of the National Academy of Sciences.  115 (2018)  11 - p. , 2018
Link: https://doi.org/10.1073/..
 
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4

Overcoming catastrophic forgetting in neural networks:

Kirkpatrick, James ; Pascanu, Razvan ; Rabinowitz, Neil...
Proceedings of the National Academy of Sciences of the United States of America.  114 (2017)  13 - p. 3521-3526 , 2017
Link: https://www.jstor.org/st..
 
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5

Overcoming catastrophic forgetting in neural networks:

Kirkpatrick, James ; Pascanu, Razvan ; Rabinowitz, Neil...
Proceedings of the National Academy of Sciences.  114 (2017)  13 - p. 3521-3526 , 2017
Link: https://doi.org/10.1073/..
 
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6

Human-level control through deep reinforcement learning:

Mnih, Volodymyr ; Kavukcuoglu, Koray ; Silver, David...
Nature.  518 (2015)  7540 - p. 529-533 , 2015
Link: https://doi.org/10.1038/..
 
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7

Learning Universal Predictors:

Grau-Moya, Jordi ; Genewein, Tim ; Hutter, Marcus...
http://arxiv.org/abs/2401.14953.  , 2024
Link: http://arxiv.org/abs/240..
 
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8

Memory-Based Meta-Learning on Non-Stationary Distributions:

Genewein, Tim ; Delétang, Grégoire ; Ruoss, Anian...
http://arxiv.org/abs/2302.03067.  , 2023
Link: http://arxiv.org/abs/230..
 
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9

Language Modeling Is Compression:

Delétang, Grégoire ; Ruoss, Anian ; Duquenne, Paul-Ambroise...
http://arxiv.org/abs/2309.10668.  , 2023
Link: http://arxiv.org/abs/230..
 
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10

Randomized Positional Encodings Boost Length Generalization..:

Ruoss, Anian ; Delétang, Grégoire ; Genewein, Tim...
http://arxiv.org/abs/2305.16843.  , 2023
Link: http://arxiv.org/abs/230..
 
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11

Beyond Bayes-optimality: meta-learning what you know you do..:

Grau-Moya, Jordi ; Delétang, Grégoire ; Kunesch, Markus...
http://arxiv.org/abs/2209.15618.  , 2022
Link: http://arxiv.org/abs/220..
 
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12

Neural Networks and the Chomsky Hierarchy:

Delétang, Grégoire ; Ruoss, Anian ; Grau-Moya, Jordi...
http://arxiv.org/abs/2207.02098.  , 2022
Link: http://arxiv.org/abs/220..
 
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13

Reinforcement Learning with Information-Theoretic Actuation:

Catt, Elliot ; Hutter, Marcus ; Veness, Joel
http://arxiv.org/abs/2109.15147.  , 2021
Link: http://arxiv.org/abs/210..
 
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14

Shaking the foundations: delusions in sequence models for i..:

Ortega, Pedro A ; Kunesch, Markus ; Delétang, Grégoire...
http://arxiv.org/abs/2110.10819.  , 2021
Link: http://arxiv.org/abs/211..
 
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15

Online Learning in Contextual Bandits using Gated Linear Ne..:

Sezener, Eren ; Hutter, Marcus ; Budden, David..
http://arxiv.org/abs/2002.11611.  , 2020
Link: http://arxiv.org/abs/200..
 
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