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Ann Nowe

15 papers · 2014–2024 · 6 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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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (27) 🌍 Conference Polyglot Β· Silver πŸƒ Academic Marathon Β· Half πŸŒ‰ Interdisciplinary Bridge Β· Bronze 🐣 Hot Topic Early Bird
πŸ‘‘ Triple Crown 🧬 Topic Evolution πŸ† Grand Slam 🧭 Keyword Pioneer ⚑ Prolific Year Β· Productive πŸ—ƒοΈ Keyword Collector (56) πŸ“ˆ Trend Setter πŸ’Ž Century Club Β· Bronze

Venues

ICML (4) IJCAI (4) ICLR (2) JMLR (2) NeurIPS (2) AAAI (1)

Top co-authors

Florent Delgrange (3) Diederik M. Roijers (2) Ana Bazzan (2) Eugenio Bargiacchi (2) Guillermo PΓ©rez (2) Diederik Roijers (2) Bruno C. da Silva (2) Anna Harutyunyan (2) Lucas N. Alegre (2) Tom Lenaerts (2)

Research topics

Machine Learning (9) Reinforcement Learning (9) Methods (9) Artificial Intelligence (6) Core AI (6) Learning Types (4) Optimization & Theory (4) Application Areas (3) Core Methods (3) Deep Learning (2) Applications (2) Models (2)

Keywords

reinforcement learning (5) markov decision process (3) policy distillation (2) variational autoencoder (2) pareto front (2) multi-objective reinforcement learning (2) multi-objective optimization (2) multi-agent system (2) optimal transport (1) formal verification (1) policy optimization (1) collective decision making (1) discount factor (1) model-based reinforcement learning (1) formal methods (1) model selection (1) temporal abstraction (1) distributional reinforcement learning (1) multi-armed bandit (1) partial observability (1)

Papers

The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models ICLR 2024 A Toolkit for Reliable Benchmarking and Research in Multi-Objective Reinforcement Learning NeurIPS 2023 Distributional Multi-Objective Decision Making IJCAI 2023 Expertise Trees Resolve Knowledge Limitations in Collective Decision-Making ICML 2023 Multi-Step Generalized Policy Improvement by Leveraging Approximate Models NeurIPS 2023 Wasserstein Auto-encoded MDPs: Formal Verification of Efficiently Distilled RL Policies with Many-sided Guarantees ICLR 2023 Distillation of RL Policies with Formal Guarantees via Variational Abstraction of Markov Decision Processes AAAI 2022 AI-Toolbox: A C++ library for Reinforcement Learning and Planning (with Python Bindings) JMLR 2020 Dynamic Weights in Multi-Objective Deep Reinforcement Learning ICML 2019 Per-Decision Option Discounting ICML 2019 Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems ICML 2018 Towards a White Box Approach to Automated Algorithm Design IJCAI 2016 Multilateral Negotiation in Boolean Games with Incomplete Information Using Generalized Possibilistic Logic IJCAI 2015 Reinforcement Learning from Demonstration through Shaping IJCAI 2015 Multi-Objective Reinforcement Learning using Sets of Pareto Dominating Policies JMLR 2014