Wendelin Böhmer

46 papers Journal 40Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Equivalence of Random Network Distillation, Deep Ensembles, and Bayesian Inference. CoRR Moritz A. Zanger, Yijun Wu, Pascal R. van der Vaart, Wendelin Böhmer, Matthijs T. J. Spaan
2026	J	`jnl`	Sparse Masked Attention Policies for Reliable Generalization. CoRR Caroline Horsch, Laurens Engwegen, Max Weltevrede, Matthijs T. J. Spaan, Wendelin Böhmer
2025	J	`jnl`	Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model. CoRR Moritz A. Zanger, Pascal R. van der Vaart, Wendelin Böhmer, Matthijs T. J. Spaan
2025	J	`jnl`	How Ensembles of Distilled Policies Improve Generalisation in Reinforcement Learning. CoRR Max Weltevrede, Moritz A. Zanger, Matthijs T. J. Spaan, Wendelin Böhmer
2025	J	`jnl`	Improving Robustness of AlphaZero Algorithms to Test-Time Environment Changes. CoRR Isidoro Tamassia, Wendelin Böhmer
2025	J	`jnl`	Modular Recurrence in Contextual MDPs for Universal Morphology Control. CoRR Laurens Engwegen, Daan Brinks, Wendelin Böhmer
2025	J	`jnl`	Parallelizing Tree Search with Twice Sequential Monte Carlo. CoRR Yaniv Oren, Joery A. de Vries, Pascal R. van der Vaart, Matthijs T. J. Spaan, Wendelin Böhmer
2025	—	`conf`	TamedPUMA: safe and stable imitation learning with geometric fabrics. L4DC Saray Bakker, Rodrigo Pérez-Dattari, Cosimo Della Santina, Wendelin Böhmer, Javier Alonso-Mora
2025	J	`jnl`	TamedPUMA: safe and stable imitation learning with geometric fabrics. CoRR Saray Bakker, Rodrigo Pérez-Dattari, Cosimo Della Santina, Wendelin Böhmer, Javier Alonso-Mora
2025	J	`jnl`	TransZero: Parallel Tree Expansion in MuZero using Transformer Networks. CoRR Emil Malmsten, Wendelin Böhmer
2025	J	`jnl`	Universal Value-Function Uncertainties. CoRR Moritz A. Zanger, Max Weltevrede, Yaniv Oren, Pascal R. van der Vaart, Caroline Horsch, Wendelin Böhmer, Matthijs T. J. Spaan
2024	J	`jnl`	A Penalty-Based Guardrail Algorithm for Non-Decreasing Optimization with Inequality Constraints. CoRR Ksenija Stepanovic, Wendelin Böhmer, Mathijs de Weerdt
2024	J	`jnl`	Distributed multi-target tracking and active perception with mobile camera networks. Comput. Vis. Image Underst. Sara Casao, Álvaro Serra-Gómez, Ana C. Murillo, Wendelin Böhmer, Javier Alonso-Mora, Eduardo Montijano
2024	J	`jnl`	Explore-Go: Leveraging Exploration for Generalisation in Deep Reinforcement Learning. CoRR Max Weltevrede, Felix Kaubek, Matthijs T. J. Spaan, Wendelin Böhmer
2024	J	`jnl`	Generalisation to unseen topologies: Towards control of biological neural network activity. CoRR Laurens Engwegen, Daan Brinks, Wendelin Böhmer
2024	J	`jnl`	To the Max: Reinventing Reward in Reinforcement Learning. CoRR Grigorii Veviurko, Wendelin Böhmer, Mathijs de Weerdt
2024	J	`jnl`	Training on more Reachable Tasks for Generalisation in Reinforcement Learning. CoRR Max Weltevrede, Caroline Horsch, Matthijs T. J. Spaan, Wendelin Böhmer
2024	J	`jnl`	Value Improved Actor Critic Algorithms. CoRR Yaniv Oren, Moritz A. Zanger, Pascal R. van der Vaart, Matthijs T. J. Spaan, Wendelin Böhmer
2023	J	`jnl`	Active Classification of Moving Targets With Learned Control Policies. IEEE Robotics Autom. Lett. Álvaro Serra-Gómez, Eduardo Montijano, Wendelin Böhmer, Javier Alonso-Mora
2023	J	`jnl`	Diverse Projection Ensembles for Distributional Reinforcement Learning. CoRR Moritz A. Zanger, Wendelin Böhmer, Matthijs T. J. Spaan
2023	J	`jnl`	Learning scalable and efficient communication policies for multi-robot collision avoidance. Auton. Robots Álvaro Serra-Gómez, Hai Zhu, Bruno Brito, Wendelin Böhmer, Javier Alonso-Mora
2023	J	`jnl`	Lights out: training RL agents robust to temporary blindness. CoRR Nathan Ordonez, Marije Tromp, Pau Marquez Julbe, Wendelin Böhmer
2023	—	`conf`	Multi-Robot Local Motion Planning Using Dynamic Optimization Fabrics. MRS Saray Bakker, Luzia Knödler, Max Spahn, Wendelin Böhmer, Javier Alonso-Mora
2023	J	`jnl`	Multi-Robot Local Motion Planning Using Dynamic Optimization Fabrics. CoRR Saray Bakker, Luzia Knödler, Max Spahn, Wendelin Böhmer, Javier Alonso-Mora
2023	J	`jnl`	The Role of Diverse Replay for Generalisation in Reinforcement Learning. CoRR Max Weltevrede, Matthijs T. J. Spaan, Wendelin Böhmer
2023	J	`jnl`	You Shall not Pass: the Zero-Gradient Problem in Predict and Optimize for Convex Optimization. CoRR Grigorii Veviurko, Wendelin Böhmer, Mathijs de Weerdt
2022	J	`jnl`	Active Classification of Moving Targets with Learned Control Policies. CoRR Álvaro Serra-Gómez, Eduardo Montijano, Wendelin Böhmer, Javier Alonso-Mora
2022	J	`jnl`	Planning with Uncertainty: Deep Exploration in Model-Based Reinforcement Learning. CoRR Yaniv Oren, Matthijs T. J. Spaan, Wendelin Böhmer
2020	J	`jnl`	AI-QMIX: Attention and Imagination for Dynamic Multi-Agent Reinforcement Learning. CoRR Shariq Iqbal, Christian A. Schröder de Witt, Bei Peng, Wendelin Böhmer, Shimon Whiteson, Fei Sha
2020	J	`jnl`	Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control. CoRR Christian Schröder de Witt, Bei Peng, Pierre-Alexandre Kamienny, Philip H. S. Torr, Wendelin Böhmer, Shimon Whiteson
2020	J	`jnl`	Optimistic Exploration even with a Pessimistic Initialisation. CoRR Tabish Rashid, Bei Peng, Wendelin Böhmer, Shimon Whiteson
2020	J	`jnl`	UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning. CoRR Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Böhmer, Shimon Whiteson
2019	J	`jnl`	Deep Coordination Graphs. CoRR Wendelin Böhmer, Vitaly Kurin, Shimon Whiteson
2019	J	`jnl`	Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning. CoRR Wendelin Böhmer, Tabish Rashid, Shimon Whiteson
2019	—	`conf`	Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination. PRICAI (2) Dongge Han, Wendelin Böhmer, Michael J. Wooldridge, Alex Rogers
2019	J	`jnl`	Multitask Soft Option Learning. CoRR Maximilian Igl, Andrew Gambardella, Nantas Nardelli, N. Siddharth, Wendelin Böhmer, Shimon Whiteson
2017	—	`—`	Representation and generalization in autonomous reinforcement learning. Wendelin Böhmer
2016	J	`jnl`	Non-Deterministic Policy Improvement Stabilizes Approximated Reinforcement Learning. CoRR Wendelin Böhmer, Rong Guo, Klaus Obermayer
2015	J	`jnl`	Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World Sensor Observations. Künstliche Intell. Wendelin Böhmer, Jost Tobias Springenberg, Joschka Boedecker, Martin A. Riedmiller, Klaus Obermayer
2015	—	`conf`	Regression with Linear Factored Functions. ECML/PKDD (1) Wendelin Böhmer, Klaus Obermayer
2014	J	`jnl`	Factored Representations for Regression. CoRR Wendelin Böhmer, Klaus Obermayer
2014	J	`jnl`	Neural systems for choice and valuation with counterfactual learning signals. NeuroImage Michael J. Tobia, R. Guo, U. Schwarze, Wendelin Böhmer, Jan Gläscher, B. Finckh, A. Marschner, Christian Büchel, Klaus Obermayer, Tobias Sommer
2013	J	`jnl`	Construction of approximation spaces for reinforcement learning. J. Mach. Learn. Res. Wendelin Böhmer, Steffen Grünewälder, Yun Shen, Marek Musial, Klaus Obermayer
2012	J	`jnl`	Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis. Mach. Learn. Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer
2012	J	`jnl`	Robot Navigation using Reinforcement Learning and Slow Feature Analysis CoRR Wendelin Böhmer
2011	—	`conf`	Regularized Sparse Kernel Slow Feature Analysis. ECML/PKDD (1) Wendelin Böhmer, Steffen Grünewälder, Hannes Nickisch, Klaus Obermayer