Pascal R. van der Vaart

According to our database, Pascal R. van der Vaart authored at least 10 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference.

Moritz A. Zanger, Yijun Wu, Pascal R. van der Vaart, Wendelin Böhmer, Matthijs T. J. Spaan

CoRR, February, 2026

VariBASed: Variational Bayes-Adaptive Sequential Monte-Carlo Planning for Deep Reinforcement Learning.

Joery A. de Vries, Jinke He, Yaniv Oren, Pascal R. van der Vaart, Mathijs de Weerdt, Matthijs T. J. Spaan

CoRR, February, 2026

2025

Parallelizing Tree Search with Twice Sequential Monte Carlo.

Yaniv Oren, Joery A. de Vries, Pascal R. van der Vaart, Matthijs T. J. Spaan, Wendelin Böhmer

CoRR, November, 2025

Priors Matter: Addressing Misspecification in Bayesian Deep Q-Learning.

Pascal R. van der Vaart, Neil Yorke-Smith, Matthijs T. J. Spaan

CoRR, August, 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, May, 2025

Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model.

Moritz A. Zanger, Pascal R. van der Vaart, Wendelin Böhmer, Matthijs T. J. Spaan

CoRR, March, 2025

Epistemic Bellman Operators.

Pascal R. van der Vaart, Matthijs T. J. Spaan, Neil Yorke-Smith

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Value Improved Actor Critic Algorithms.

Yaniv Oren, Moritz A. Zanger, Pascal R. van der Vaart, Matthijs T. J. Spaan, Wendelin Böhmer

CoRR, 2024

Bayesian Ensembles for Exploration in Deep Q-Learning.

Pascal R. van der Vaart, Neil Yorke-Smith, Matthijs T. J. Spaan

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Bayesian Model-Free Deep Reinforcement Learning.

Pascal R. van der Vaart

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024