E-LIB Suche - Ergebnisse für: Icarte, Rodrigo Toro - Sprache EN

Search for persons X

Sorted by: Relevance

Sorted by: Year

1

Connection-Aware Heuristics for Scheduling and Distributing..:

Sanabria, Pablo ; Montoya, Sebastián ; Neyem, Andrés...
Applied Sciences. 14 (2024) 8 - p. 3206 , 2024

Link: https://doi.org/10.3390/..

2

Learning reward machines: A study in partially observable r..:

Toro Icarte, Rodrigo ; Klassen, Toryn Q. ; Valenzano, Richard...
Artificial Intelligence. 323 (2023) - p. 103989 , 2023

Link: https://doi.org/10.1016/..

3

Solving Task Scheduling Problems in Dew Computing via Deep ..:

Sanabria, Pablo ; Tapia, Tomás Felipe ; Toro Icarte, Rodrigo.
Applied Sciences. 12 (2022) 14 - p. 7137 , 2022

Link: https://doi.org/10.3390/..

4

Training Binarized Neural Networks Using MIP and CP:

, In: Lecture Notes in Computer Science; Principles and Practice of Constraint Programming,

Toro Icarte, Rodrigo ; Illanes, León ; Castro, Margarita P.... - p. 401-417 , 2019

Link: https://doi.org/10.1007/..

5

Teaching Multiple Tasks to an RL Agent using LTL:

, In: Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems,

Toro Icarte, Rodrigo ; Klassen, Toryn Q. ; Valenzano, Richard. - p. 452-461 , 2018

Link: https://dl.acm.org/doi/1..

6

Learning Symbolic Representations for Reinforcement Learnin..:

Christoffersen, Phillip J. K ; Li, Andrew C ; Icarte, Rodrigo Toro.
http://arxiv.org/abs/2301.02952. , 2023

Link: http://arxiv.org/abs/230..

7

Noisy Symbolic Abstractions for Deep RL: A case study with ..:

Li, Andrew C ; Chen, Zizhao ; Vaezipoor, Pashootan...
http://arxiv.org/abs/2211.10902. , 2022

Link: http://arxiv.org/abs/221..

8

Challenges to Solving Combinatorially Hard Long-Horizon Dee..:

Li, Andrew C ; Vaezipoor, Pashootan ; Icarte, Rodrigo Toro.
http://arxiv.org/abs/2206.01812. , 2022

Link: http://arxiv.org/abs/220..

9

LTL2Action: Generalizing LTL Instructions for Multi-Task RL:

Vaezipoor, Pashootan ; Li, Andrew ; Icarte, Rodrigo Toro.
http://arxiv.org/abs/2102.06858. , 2021

Link: http://arxiv.org/abs/210..

10

Be Considerate: Objectives, Side Effects, and Deciding How ..:

Alamdari, Parand Alizadeh ; Klassen, Toryn Q ; Icarte, Rodrigo Toro.
http://arxiv.org/abs/2106.02617. , 2021

Link: http://arxiv.org/abs/210..

11

Learning Reward Machines: A Study in Partially Observable R..:

Icarte, Rodrigo Toro ; Waldie, Ethan ; Klassen, Toryn Q...
http://arxiv.org/abs/2112.09477. , 2021

Link: http://arxiv.org/abs/211..

12

AppBuddy: Learning to Accomplish Tasks in Mobile Apps via R..:

Shvo, Maayan ; Hu, Zhiming ; Icarte, Rodrigo Toro...
http://arxiv.org/abs/2106.00133. , 2021

Link: http://arxiv.org/abs/210..

13

Reward Machines: Exploiting Reward Function Structure in Re..:

Icarte, Rodrigo Toro ; Klassen, Toryn Q ; Valenzano, Richard.
http://arxiv.org/abs/2010.03950. , 2020

Link: http://arxiv.org/abs/201..

14

The act of remembering: a study in partially observable rei..:

Icarte, Rodrigo Toro ; Valenzano, Richard ; Klassen, Toryn Q...
http://arxiv.org/abs/2010.01753. , 2020

Link: http://arxiv.org/abs/201..

15

Interpretable Sequence Classification via Discrete Optimiza..:

Shvo, Maayan ; Li, Andrew C ; Icarte, Rodrigo Toro.
http://arxiv.org/abs/2010.02819. , 2020

Link: http://arxiv.org/abs/201..

1-15