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Sarah Rathnam

2 papers · 2023–2024 · 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 · Bronze

Venues

ICML (1) JMLR (1)

Top co-authors

Weiwei Pan (2) Sonali Parbhoo (2) Finale Doshi-velez (2) Susan Murphy (1) Susan A. Murphy (1) Siddharth Swaroop (1)

Research topics

Machine Learning (2) Reinforcement Learning (2) Learning Types · Machine Learning (2) Methods (2) Optimization & Theory (2) Deep Learning (1) Learning Types · Deep Learning (1)

Keywords

discount regularization (2) policy optimization (1) markov decision process (1) bellman equation (1) model-based reinforcement learning (1) optimal policy (1) reinforcement learning (1) model-free reinforcement learning (1) planning horizon (1) transition matrix (1) overfitting prevention (1) state-action pair (1) regularization parameter (1)

Papers

Rethinking Discount Regularization: New Interpretations, Unintended Consequences, and Solutions for Regularization in Reinforcement Learning JMLR 2024 The Unintended Consequences of Discount Regularization: Improving Regularization in Certainty Equivalence Reinforcement Learning ICML 2023