Matthew Schlegel

7 papers · 2017–2023 · 3 venues · across top CS/AI venues

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Achievements

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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Sprint 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze

🚀 Conference Pioneer 📈 Trend Setter

Venues

NeurIPS (5) AAAI (1) ICML (1)

Top co-authors

Martha White (7) Adam White (3) Raksha Kumaraswamy (2) Andrew Jacobsen (2) Gabor Mihucz (1) James Kostas (1) Philip S. Thomas (1) Lingwei Zhu (1) Dhawal Gupta (1) Chunlok Lo (1)

Research topics

Machine Learning (6) Reinforcement Learning (5) Learning Types · Machine Learning (5) Methods (5) Optimization & Theory (3) Deep Learning (1) Mathematics & Optimization (1) Core Methods (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Optimization (1)

Keywords

reinforcement learning (3) off-policy learning (2) online learning (2) continual learning (2) policy optimization (1) importance sampling (1) value function (1) value iteration (1) kullback-leibler divergence (1) step size adaptation (1) least-squares temporal difference (1) action-value function (1) submodular maximization (1) upper confidence bound (1) atari game (1) replay buffer (1) successor feature (1) non-stationary problem (1) meta-gradient descent (1) tsallis divergence (1)

Papers

General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence NeurIPS 2023 Continual Auxiliary Task Learning NeurIPS 2021 Structural Credit Assignment in Neural Networks using Reinforcement Learning NeurIPS 2021 Importance Resampling for Off-policy Prediction NeurIPS 2019 Meta-Descent for Online, Continual Prediction AAAI 2019 Context-dependent upper-confidence bounds for directed exploration NeurIPS 2018 Adapting Kernel Representations Online Using Submodular Maximization ICML 2017