Scott Jordan

4 papers · 2019–2023 · 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 🗺️ Taxonomy Completionist (10)

Venues

ICML (2) NeurIPS (2)

Top co-authors

Yash Chandak (4) Georgios Theocharous (2) Philip S. Thomas (2) Philip Thomas (2) Dhawal Gupta (1) Mengxue Zhang (1) Bruno C. da Silva (1) Daniel Cohen (1) James Kostas (1) Martha White (1)

Research topics

Reinforcement Learning (4) Methods (3) Artificial Intelligence (2) Machine Learning (2) Core AI (2) Learning Types · Machine Learning (2) Deep Learning (1) Application Areas (1) Applications (1) Core Methods (1) Learning Types · Deep Learning (1)

Keywords

reinforcement learning (2) policy optimization (1) policy learning (1) evaluation methodology (1) sequential hypothesis testing (1) reward function (1) performance evaluation (1) bilevel optimization (1) reward shaping (1) action space (1) safe policy improvement (1) low-dimensional representation (1) non-stationary mdp (1) action representation (1) policy decomposition (1) benchmark task (1) seldonian algorithm (1) wild bootstrap (1) behavior alignment (1)

Papers

Behavior Alignment via Reward Function Optimization NeurIPS 2023 Evaluating the Performance of Reinforcement Learning Algorithms ICML 2020 Towards Safe Policy Improvement for Non-Stationary MDPs NeurIPS 2020 Learning Action Representations for Reinforcement Learning ICML 2019