Planning with Uncertainty: Deep Exploration in Model-Based Reinforcement Learning. - Yaniv Oren; Matthijs T. J. Spaan; Wendelin Böhmer (CoRR, 2022)

Value Improved Actor Critic Algorithms. - Yaniv Oren; Moritz A. Zanger; Pascal R. van der Vaart; Matthijs T. J. Spaan; Wendelin Böhmer (CoRR, 2024)

Paradoxical Long-term Memory Augmentation following Temporal Pairing between "Limited" and "Extensive" Motor Sequence Training Experiences. - Yaniv Oren; Maria Korman; Avi Karni (J. Cogn. Neurosci., 2024)

Epistemic Monte Carlo Tree Search. - Yaniv Oren; Viliam Vadocz; Matthijs T. J. Spaan; Wendelin Boehmer (ICLR, 2025)

Trust-Region Twisted Policy Improvement. - Joery A. de Vries; Jinke He; Yaniv Oren; Matthijs T. J. Spaan (CoRR, 2025)

Universal Value-Function Uncertainties. - Moritz A. Zanger; Max Weltevrede; Yaniv Oren; Pascal R. van der Vaart; Caroline Horsch; Wendelin Böhmer; Matthijs T. J. Spaan (CoRR, 2025)

Bridging the Performance Gap Between Target-Free and Target-Based Reinforcement Learning With Iterated Q-Learning. - Théo Vincent; Yogesh Tripathi; Tim Lukas Faust; Yaniv Oren; Jan Peters 001; Carlo D'Eramo (CoRR, 2025)

RecBayes: Recurrent Bayesian Ad Hoc Teamwork in Large Partially Observable Domains. - João G. Ribeiro; Yaniv Oren; Alberto Sardinha; Matthijs T. J. Spaan; Francisco S. Melo (CoRR, 2025)