Ronan Fruit

6 papers · 2017–2019 · 3 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 · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird 🏆 Keyword Champion (2)

Venues

NeurIPS (4) AISTATS (1) ICML (1)

Top co-authors

Alessandro Lazaric (6) Matteo Pirotta (5) Ronald Ortner (2) Jian Qian (1) Emma Brunskill (1) Odalric-ambrym Maillard (1)

Research topics

Machine Learning (6) Reinforcement Learning (6) Learning Types (6) Methods (6) Artificial Intelligence (3) Core AI (3) Optimization & Theory (3) Applications (1) Core Methods (1)

Keywords

markov decision process (5) regret bound (4) reinforcement learning (3) weakly communicating mdp (2) online learning (2) regret minimization (2) option framework (2) semi-markov decision process (2) temporal abstraction (1) online reinforcement learning (1) upper confidence bound (1) exploration exploitation (1) sublinear regret (1) optimistic algorithm (1) average reward (1) exploration bonus (1) bias span (1) exploration-exploitation tradeoff (1) state representation (1) continuous state space (1)

Papers

Exploration Bonus for Regret Minimization in Discrete and Continuous Average Reward MDPs NeurIPS 2019 Regret Bounds for Learning State Representations in Reinforcement Learning NeurIPS 2019 Efficient Bias-Span-Constrained Exploration-Exploitation in Reinforcement Learning ICML 2018 Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes NeurIPS 2018 Exploration-Exploitation in MDPs with Options AISTATS 2017 Regret Minimization in MDPs with Options without Prior Knowledge NeurIPS 2017