Angeliki Kamoutsi

3 papers · 2021–2024 · 2 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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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (10)

Venues

NeurIPS (2) ICML (1)

Top co-authors

Volkan Cevher (2) John Lygeros (2) Goran Banjac (1) Gergely Neu (1) Igor Krawczuk (1) Luca Viano (1) Peter Schmitt-Förster (1) Tobias Sutter (1)

Research topics

Machine Learning (3) Reinforcement Learning (3) Methods (3) Learning Types (2) Optimization & Theory (2) Artificial Intelligence (1) Mathematics & Optimization (1) Core AI (1) Optimization (1)

Keywords

inverse reinforcement learning (2) policy optimization (1) sample complexity (1) policy learning (1) markov decision process (1) optimal control (1) linear function approximation (1) pac bound (1) randomized algorithm (1) cost function inference (1) proximal point method (1) model-free algorithm (1) lagrangian duality (1) continuous space (1) offline imitation learning (1) imitation learning (1) dual smoothing (1)

Papers

Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces NeurIPS 2024 Proximal Point Imitation Learning NeurIPS 2022 Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations ICML 2021