Wendelin Boehmer

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 21

Top Topics

Temporal Difference

Privileged Information

Extended Abstract

Reinforcement Learning

Top Venues

Publications

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