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Lazaric, Alessandro
280  Ergebnisse:
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1

System-2 Recommenders: Disentangling Utility and Engagement..:

, In: Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency,
Agarwal, Arpit ; Usunier, Nicolas ; Lazaric, Alessandro. - p. 1763-1773 , 2024
Link: https://dl.acm.org/doi/1..
 
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2

Sketched Newton--Raphson:

Yuan, Rui ; Lazaric, Alessandro ; Gower, Robert M.
SIAM Journal on Optimization.  32 (2022)  3 - p. 1555-1583 , 2022
Link: https://doi.org/10.1137/..
 
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3

Truthful learning mechanisms for multi-slot sponsored searc..:

Gatti, Nicola ; Lazaric, Alessandro ; Rocco, Marco.
Artificial Intelligence.  227 (2015)  - p. 93-139 , 2015
Link: https://doi.org/10.1016/..
 
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4

A truthful learning mechanism for contextual multi-slot spo..:

, In: Proceedings of the 13th ACM Conference on Electronic Commerce,
Gatti, Nicola ; Lazaric, Alessandro ; Trovò, Francesco - p. 605-622 , 2012
Link: https://dl.acm.org/doi/1..
 
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5

Learning with stochastic inputs and adversarial outputs:

Lazaric, Alessandro ; Munos, Rémi
Journal of Computer and System Sciences.  78 (2012)  5 - p. 1516-1537 , 2012
Link: https://doi.org/10.1016/..
 
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6

A truthful learning mechanism for multi-slot sponsored sear..:

, In: Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 3,
Gatti, Nicola ; Lazaric, Alessandro ; Trovò, Francesco - p. 1325-1326 , 2012
Link: https://dl.acm.org/doi/1..
 
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7

Workshop summary: On-line learning with limited feedback:

, In: Proceedings of the 26th Annual International Conference on Machine Learning,
Audibert, Jean-Yves ; Auer, Peter ; Lazaric, Alessandro... - p. 1 ff. , 2009
Link: https://dl.acm.org/doi/1..
 
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8

Reinforcement distribution in fuzzy Q-learning:

Bonarini, Andrea ; Lazaric, Alessandro ; Montrone, Francesco.
Fuzzy Sets and Systems.  160 (2009)  10 - p. 1420-1443 , 2009
Link: https://doi.org/10.1016/..
 
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9

On the usefulness of opponent modeling : the Kuhn Poker ..:

, In: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3,
Lazaric, Alessandro ; Quaresimale, Mario ; Restelli, Marcello - p. 1345-1348 , 2008
Link: https://dl.acm.org/doi/1..
 
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10

Transfer of task representation in reinforcement learning u..:

, In: Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3,
Ferrante, Eliseo ; Lazaric, Alessandro ; Restelli, Marcello - p. 1329-1332 , 2008
Link: https://dl.acm.org/doi/1..
 
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11

Transfer of samples in batch reinforcement learning:

, In: Proceedings of the 25th international conference on Machine learning,
Lazaric, Alessandro ; Restelli, Marcello ; Bonarini, Andrea - p. 544-551 , 2008
Link: https://dl.acm.org/doi/1..
 
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12

Reinforcement learning in extensive form games with incompl..:

, In: Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems,
Lazaric, Alessandro ; de Cote, Enrique Munoz ; Gatti, Nicola - p. 1-3 , 2007
Link: https://dl.acm.org/doi/1..
 
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13

Learning to cooperate in multi-agent social dilemmas:

, In: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems,
de Cote, Enrique Munoz ; Lazaric, Alessandro ; Restelli, Marcello - p. 783-785 , 2006
Link: https://dl.acm.org/doi/1..
 
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14

Batch Reinforcement Learning for Controlling a Mobile Wheel..:

, In: Artificial Intelligence in Theory and Practice II; IFIP – The International Federation for Information Processing,
Bonarini, Andrea ; Caccia, Claudio ; Lazaric, Alessandro. - p. 151-160 ,
Link: https://doi.org/10.1007/..
 
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15

Learning Goal-Conditioned Policies Offline with Self-Superv..:

Mezghani, Lina ; Sukhbaatar, Sainbayar ; Bojanowski, Piotr..
http://arxiv.org/abs/2301.02099.  , 2023
Link: http://arxiv.org/abs/230..
 
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