Wendelin Boehmer

14 papers · 2019–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+4 more ↓

🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🤝 Dynamic Duo (11)

👑 Triple Crown 🗃️ Keyword Collector (70) ⚡ Prolific Year · Productive 💎 Century Club · Bronze

Venues

ICLR (5) ICML (4) NeurIPS (3) IJCAI (1) UAI (1)

Top co-authors

Shimon Whiteson (11) Bei Peng (4) Maximilian Igl (3) Gregory Farquhar (2) Matthijs T. J. Spaan (2) Vitaly Kurin (2) Christian Schroeder de Witt (2) Philip Torr (2) Shangtong Zhang (2) Tabish Rashid (2)

Research topics

Artificial Intelligence (9) Reinforcement Learning (9) Core AI (9) Methods (9) Machine Learning (5) Deep Learning (3) Applications (3) Core Methods (2) Learning Types · Deep Learning (2) Learning Types · Machine Learning (2) Optimization & Theory · Machine Learning (2) Architectures (1) Learning Paradigms (1) Optimization & Theory · Deep Learning (1)

Keywords

multi-agent reinforcement learning (5) deep reinforcement learning (3) multi-task learning (2) message passing (2) reinforcement learning (2) value function (2) sample efficiency (1) model-based planning (1) knowledge transfer (1) intrinsic motivation (1) distributional reinforcement learning (1) hierarchical reinforcement learning (1) epistemic uncertainty (1) optimistic exploration (1) off-policy learning (1) parameter sharing (1) policy gradient (1) monte carlo tree search (1) transfer learning (1) wasserstein distance (1)

Papers

Epistemic Monte Carlo Tree Search ICLR 2025 Diverse Projection Ensembles for Distributional Reinforcement Learning ICLR 2024 To the Max: Reinventing Reward in Reinforcement Learning ICML 2024 Deep Residual Reinforcement Learning (Extended Abstract) IJCAI 2021 FACMAC: Factored Multi-Agent Centralised Policy Gradients NeurIPS 2021 My Body is a Cage: the Role of Morphology in Graph-Based Incompatible Control ICLR 2021 Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning ICML 2021 Transient Non-stationarity and Generalisation in Deep Reinforcement Learning ICLR 2021 UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning ICML 2021 Deep Coordination Graphs ICML 2020 Multitask Soft Option Learning UAI 2020 Optimistic Exploration even with a Pessimistic Initialisation ICLR 2020 Generalized Off-Policy Actor-Critic NeurIPS 2019 Multi-Agent Common Knowledge Reinforcement Learning NeurIPS 2019