Runzhe Wu

According to our database1, Runzhe Wu authored at least 10 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

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Bibliography

2024
Computationally Efficient RL under Linear Bellman Completeness for Deterministic Dynamics.
CoRR, 2024

Making RL with Preference-based Feedback Efficient via Randomization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning.
J. Mach. Learn. Res., 2023

Contextual Bandits and Imitation Learning via Preference-Based Active Queries.
CoRR, 2023

The Benefits of Being Distributional: Small-Loss Bounds for Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Selective Sampling and Imitation Learning via Online Regression.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Contextual Bandits and Imitation Learning with Preference-Based Active Queries.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distributional Offline Policy Evaluation with Predictive Error Guarantees.
Proceedings of the International Conference on Machine Learning, 2023

2021
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning.
CoRR, 2021

Offline Constrained Multi-Objective Reinforcement Learning via Pessimistic Dual Value Iteration.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021


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