Surrogate DC Microgrid Models for Optimization of Charging Electric Vehicles under Partial Observability von Veviurko, Grigorii, Böhmer, Wendelin, Mackay, Laurens, de Weerdt, Mathijs

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Interaction of Instrumental and Goal-Directed Learning Modulates Prediction Error Representations in the Ventral Striatum von Guo, Rong, Böhmer, Wendelin, Hebart, Martin, Chien, Samson, Sommer, Tobias, Obermayer, Klaus, Gläscher, Jan

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Generating feature spaces for linear algorithms with regularized sparse kernel slow feature analysis von Böhmer, Wendelin, Grünewälder, Steffen, Nickisch, Hannes, Obermayer, Klaus

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Regression with Linear Factored Functions von Böhmer, Wendelin, Obermayer, Klaus

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Regularized Sparse Kernel Slow Feature Analysis von Böhmer, Wendelin, Grünewälder, Steffen, Nickisch, Hannes, Obermayer, Klaus

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Deep Residual Reinforcement Learning von Zhang, Shangtong, Boehmer, Wendelin, Whiteson, Shimon

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Generalized Off-Policy Actor-Critic von Zhang, Shangtong, Boehmer, Wendelin, Whiteson, Shimon

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My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control von Kurin, Vitaly, Igl, Maximilian, Rocktäschel, Tim, Boehmer, Wendelin, Whiteson, Shimon

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Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning von Igl, Maximilian, Farquhar, Gregory, Luketina, Jelena, Boehmer, Wendelin, Whiteson, Shimon

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Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination von Han, Dongge, Boehmer, Wendelin, Wooldridge, Michael, Rogers, Alex

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Privileged Information Dropout in Reinforcement Learning von Kamienny, Pierre-Alexandre, Arulkumaran, Kai, Behbahani, Feryal, Boehmer, Wendelin, Whiteson, Shimon

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Deep Residual Reinforcement Learning von Zhang, Shangtong, Boehmer, Wendelin, Whiteson, Shimon

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Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning von Igl, Maximilian, Farquhar, Gregory, Luketina, Jelena, Boehmer, Wendelin, Whiteson, Shimon

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Generalized Off-Policy Actor-Critic von Zhang, Shangtong, Boehmer, Wendelin, Whiteson, Shimon

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My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control von Kurin, Vitaly, Igl, Maximilian, Rocktäschel, Tim, Boehmer, Wendelin, Whiteson, Shimon

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Multi-Agent Common Knowledge Reinforcement Learning von de Witt, Christian A. Schroeder, Foerster, Jakob N, Farquhar, Gregory, Torr, Philip H. S, Boehmer, Wendelin, Whiteson, Shimon

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Privileged Information Dropout in Reinforcement Learning von Pierre-Alexandre Kamienny, Arulkumaran, Kai, Behbahani, Feryal, Boehmer, Wendelin, Whiteson, Shimon

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Multi-Agent Common Knowledge Reinforcement Learning von Christian A Schroeder de Witt, Foerster, Jakob N, Farquhar, Gregory, Torr, Philip H S, Boehmer, Wendelin, Whiteson, Shimon

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Autonomous Learning of State Representations for Control: An Emerging Field Aims to Autonomously Learn State Representations for Reinforcement Learning Agents from Their Real-World... von Böhmer, Wendelin, Springenberg, Jost Tobias, Boedecker, Joschka, Riedmiller, Martin, Obermayer, Klaus

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