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Ruo Yu Tao

2 papers · 2020–2024 · 1 venue · 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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🌉 Interdisciplinary Bridge · Bronze

Venues

NeurIPS (2)

Top co-authors

Aaron Kirtland (1) Ronald Parr (1) Nicholas Petrocelli (1) Omer Gottesman (1) Daniel Scott (1) Cameron Allen (1) George Konidaris (1) Michael L. Littman (1) Vincent Francois-Lavet (1) Sam Lobel (1)

Research topics

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

Keywords

representation learning (1) reinforcement learning (1) temporal difference learning (1) markov decision process (1) information theoretic (1) state representation (1) partial observability (1) temporal difference (1) state representation learning (1) recurrent neural network (1) sparse reward (1) intrinsic reward (1) lambda discrepancy (1) recurrent value network (1) novelty search (1) sample-efficient exploration (1)

Papers

Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy NeurIPS 2024 Novelty Search in Representational Space for Sample Efficient Exploration NeurIPS 2020