E-LIB Suche - Ergebnisse für: Spaan, Matthijs T.J.

1

Reinforcement Learning by Guided Safe Exploration:

Yang, Qisong ; Simão, Thiago D ; Jansen, Nils..
http://arxiv.org/abs/2307.14316. , 2023

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

2

Diverse Projection Ensembles for Distributional Reinforceme..:

Zanger, Moritz A ; Böhmer, Wendelin ; Spaan, Matthijs T. J
http://arxiv.org/abs/2306.07124. , 2023

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

3

The Role of Diverse Replay for Generalisation in Reinforcem..:

Weltevrede, Max ; Spaan, Matthijs T. J ; Böhmer, Wendelin
http://arxiv.org/abs/2306.05727. , 2023

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

4

Bad Habits: Policy Confounding and Out-of-Trajectory Genera..:

Suau, Miguel ; Spaan, Matthijs T. J ; Oliehoek, Frans A
http://arxiv.org/abs/2306.02419. , 2023

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

5

E-MCTS: Deep Exploration in Model-Based Reinforcement Learn..:

Oren, Yaniv ; Spaan, Matthijs T. J ; Böhmer, Wendelin
http://arxiv.org/abs/2210.13455. , 2022

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

6

A Modern Perspective on Safe Automated Driving for Differen..:

Kamran, Danial ; Simão, Thiago D ; Yang, Qisong...
info:eu-repo/semantics/altIdentifier/doi/10.1109/ITSC55140.2022.9921907. , 2022

Link: https://publikationen.bi..

7

Distributed Influence-Augmented Local Simulators for Parall..:

Suau, Miguel ; He, Jinke ; Çelikok, Mustafa Mert..
http://arxiv.org/abs/2207.00288. , 2022

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

8

Influence-Augmented Local Simulators: A Scalable Solution f..:

Suau, Miguel ; He, Jinke ; Spaan, Matthijs T. J.
http://arxiv.org/abs/2202.01534. , 2022

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

9

Abstraction-Refinement for Hierarchical Probabilistic Model:

Junges, Sebastian ; Spaan, Matthijs T. J
http://arxiv.org/abs/2206.02653. , 2022

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

10

Constrained multiagent Markov decision processes:a taxonomy..:

de Nijs, Frits ; Walraven, Erwin ; de Weerdt, Mathijs M.
de Nijs , F , Walraven , E , de Weerdt , M M & Spaan , M T J 2021 , ' Constrained multiagent Markov decision processes : a taxonomy of problems and algorithms ' , Journal of Artificial Intelligence Research , vol. 70 , pp. 955-1001 . https://doi.org/10.1613/JAIR.1.12233. , 2021

Link: https://research.monash...

11

Improved Power Flow Methods for DC Grids:

van der Blij, Nils H ; Chaifouroosh, Dario ; Canizares, Claudio A...
info:eu-repo/grantAgreement/EC/H2020/734796/. , 2020

Link: https://zenodo.org/recor..

12

A Unified Decision-Theoretic Model for Information Gatherin..:

Renoux, Jennifer ; Veiga, Tiago S ; Lima, Pedro U.
IEEE International Workshop on Robot and Human Communication (ROMAN), 1944-9445. , 2020

Link: http://urn.kb.se/resolve..

13

Exploiting Submodular Value Functions For Scaling Up Active..:

Satsangi, Yash ; Whiteson, Shimon ; Oliehoek, Frans A.
http://arxiv.org/abs/2009.09696. , 2020

Link: http://arxiv.org/abs/200..

14

Decentralized Sensor Fusion for Ubiquitous Networking Robot..:

Sanfeliu, Alberto ; Andrade-Cetto, Juan ; Barbosa, Marco...
Sensors, 10 (3), 2274-2314.. , 2017

Link: https://idus.us.es/xmlui..

15

Solving Transition-Independent Multi-agent MDPs with Sparse..:

Scharpff, Joris ; Roijers, Diederik M ; Oliehoek, Frans A..
http://arxiv.org/abs/1511.09047. , 2015

Link: http://arxiv.org/abs/151..