Jose A. Arjona-Medina

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 10

Top Topics

Monte Carlo Methods

Multiarmed Bandit

Quantum Mechanics

Convergence Proof

Top Venues

Publications

Jose A. Arjona-Medina, Ramil I. Nugmanov
Analysis of Atom-level pretraining with Quantum Mechanics (QM) data for Graph Neural Networks Molecular property models. CoRR (2024)
Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille
MEET: A Monte Carlo Exploration-Exploitation Trade-Off for Buffer Sampling. ICASSP (2023)
Julius Ott, Lorenzo Servadei, Jose A. Arjona-Medina, Enrico Rinaldi, Gianfranco Mauro, Daniela Sanchez Lopera, Michael Stephan, Thomas Stadelmayer, Avik Santra, Robert Wille
MEET: A Monte Carlo Exploration-Exploitation Trade-off for Buffer Sampling. CoRR (2022)
Marius-Constantin Dinu, Markus Hofmarcher, Vihang P. Patil, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter
XAI and Strategy Extraction via Reward Redistribution. xxAI@ICML (2020)
Lorenzo Servadei, Jiapeng Zheng, Jose A. Arjona-Medina, Michael Werner, Volkan Esen, Sepp Hochreiter, Wolfgang Ecker, Robert Wille
Cost Optimization at Early Stages of Design Using Deep Reinforcement Learning. MLCAD (2020)
Vihang P. Patil, Markus Hofmarcher, Marius-Constantin Dinu, Matthias Dorfer, Patrick M. Blies, Johannes Brandstetter, Jose A. Arjona-Medina, Sepp Hochreiter
Align-RUDDER: Learning From Few Demonstrations by Reward Redistribution. CoRR (2020)
Markus Holzleitner, Lukas Gruber, Jose A. Arjona-Medina, Johannes Brandstetter, Sepp Hochreiter
Convergence Proof for Actor-Critic Methods Applied to PPO and RUDDER. CoRR (2020)
Leila Arras, Jose A. Arjona-Medina, Michael Widrich, Grégoire Montavon, Michael Gillhofer, Klaus-Robert Müller, Sepp Hochreiter, Wojciech Samek
Explaining and Interpreting LSTMs. CoRR (2019)
Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Johannes Brandstetter, Sepp Hochreiter
RUDDER: Return Decomposition for Delayed Rewards. NeurIPS (2019)
Jose A. Arjona-Medina, Michael Gillhofer, Michael Widrich, Thomas Unterthiner, Sepp Hochreiter
RUDDER: Return Decomposition for Delayed Rewards. CoRR (2018)
Jose A. Arjona-Medina, Oswaldo Trelles
Computational Synteny Block: A framework to identify evolutionary events. BIBM (2015)