Wendelin Boehmer

23 papers A* 13A 3Journal 7

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Epistemic Monte Carlo Tree Search. ICLR Yaniv Oren, Viliam Vadocz, Matthijs T. J. Spaan, Wendelin Boehmer
2024	A*	`conf`	Diverse Projection Ensembles for Distributional Reinforcement Learning. ICLR Moritz Akiya Zanger, Wendelin Boehmer, Matthijs T. J. Spaan
2024	A*	`conf`	To the Max: Reinventing Reward in Reinforcement Learning. ICML Grigorii Veviurko, Wendelin Boehmer, Mathijs de Weerdt
2021	A*	`conf`	Deep Residual Reinforcement Learning (Extended Abstract). IJCAI Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson
2021	A*	`conf`	FACMAC: Factored Multi-Agent Centralised Policy Gradients. NeurIPS Bei Peng, Tabish Rashid, Christian Schröder de Witt, Pierre-Alexandre Kamienny, Philip H. S. Torr, Wendelin Boehmer, Shimon Whiteson
2021	A*	`conf`	My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control. ICLR Vitaly Kurin, Maximilian Igl, Tim Rocktäschel, Wendelin Boehmer, Shimon Whiteson
2021	A*	`conf`	Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning. ICML Shariq Iqbal, Christian A. Schröder de Witt, Bei Peng, Wendelin Boehmer, Shimon Whiteson, Fei Sha
2021	A*	`conf`	Transient Non-stationarity and Generalisation in Deep Reinforcement Learning. ICLR Maximilian Igl, Gregory Farquhar, Jelena Luketina, Wendelin Boehmer, Shimon Whiteson
2021	A*	`conf`	UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning. ICML Tarun Gupta, Anuj Mahajan, Bei Peng, Wendelin Boehmer, Shimon Whiteson
2020	A*	`conf`	Deep Coordination Graphs. ICML Wendelin Boehmer, Vitaly Kurin, Shimon Whiteson
2020	A	`conf`	Deep Residual Reinforcement Learning. AAMAS Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson
2020	A	`conf`	Multitask Soft Option Learning. UAI Maximilian Igl, Andrew Gambardella, Jinke He, Nantas Nardelli, N. Siddharth, Wendelin Boehmer, Shimon Whiteson
2020	J	`jnl`	My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control. CoRR Vitaly Kurin, Maximilian Igl, Tim Rocktäschel, Wendelin Boehmer, Shimon Whiteson
2020	A*	`conf`	Optimistic Exploration even with a Pessimistic Initialisation. ICLR Tabish Rashid, Bei Peng, Wendelin Boehmer, Shimon Whiteson
2020	J	`jnl`	Privileged Information Dropout in Reinforcement Learning. CoRR Pierre-Alexandre Kamienny, Kai Arulkumaran, Feryal M. P. Behbahani, Wendelin Boehmer, Shimon Whiteson
2020	J	`jnl`	The Impact of Non-stationarity on Generalisation in Deep Reinforcement Learning. CoRR Maximilian Igl, Gregory Farquhar, Jelena Luketina, Wendelin Boehmer, Shimon Whiteson
2019	J	`jnl`	Deep Residual Reinforcement Learning. CoRR Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson
2019	A*	`conf`	Generalized Off-Policy Actor-Critic. NeurIPS Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson
2019	J	`jnl`	Generalized Off-Policy Actor-Critic. CoRR Shangtong Zhang, Wendelin Boehmer, Shimon Whiteson
2019	A*	`conf`	Multi-Agent Common Knowledge Reinforcement Learning. NeurIPS Christian Schröder de Witt, Jakob N. Foerster, Gregory Farquhar, Philip H. S. Torr, Wendelin Boehmer, Shimon Whiteson
2019	A	`conf`	Multi-Agent Hierarchical Reinforcement Learning with Dynamic Termination. AAMAS Dongge Han, Wendelin Boehmer, Michael J. Wooldridge, Alex Rogers
2019	J	`jnl`	Multi-agent Hierarchical Reinforcement Learning with Dynamic Termination. CoRR Dongge Han, Wendelin Boehmer, Michael J. Wooldridge, Alex Rogers
2018	J	`jnl`	Multi-Agent Common Knowledge Reinforcement Learning. CoRR Jakob N. Foerster, Christian A. Schröder de Witt, Gregory Farquhar, Philip H. S. Torr, Wendelin Boehmer, Shimon Whiteson