Shuze Daniel Liu

According to our database1, Shuze Daniel Liu authored at least 14 papers between 2023 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Convergence of Two-Timescale Markovian Stochastic Approximations with Applications in Reinforcement Learning.
CoRR, May, 2026

Offline Two-Player Zero-Sum Markov Games with KL Regularization.
CoRR, May, 2026

Predicting Plasticity in Deep Continual Learning: A Theoretical Perspective.
CoRR, May, 2026

Beyond Linear Attention: Softmax Transformers Implement In-Context Reinforcement Learning.
CoRR, May, 2026

AstroAlertBench: Evaluating the Accuracy, Reasoning, and Honesty of Multimodal LLMs in Astronomical Classification.
CoRR, May, 2026

Instructing LLMs to Negotiate using Reinforcement Learning with Verifiable Rewards.
CoRR, April, 2026

MathlibLemma: Folklore Lemma Generation and Benchmark for Formal Mathematics.
CoRR, February, 2026

2025
The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise.
J. Mach. Learn. Res., 2025

Doubly Optimal Policy Evaluation for Reinforcement Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Efficient Policy Evaluation with Safety Constraint for Reinforcement Learning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Efficient Multi-Policy Evaluation for Reinforcement Learning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Efficient Multi-Policy Evaluation for Reinforcement Learning.
CoRR, 2024

Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Improving Monte Carlo Evaluation with Offline Data.
CoRR, 2023


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