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Shuai Hu

2 accepted papers

2026

One Model for All Tasks: Leveraging Efficient World Models in Multi-Task Planning

ICLR 2026poster

In heterogeneous multi-task decision-making, tasks not only exhibit diverse observation and action spaces but also vary substantially in their underlying complexities. While conventional multi-task world models like UniZero excel in single-task settings, we find that when handling a broad and divers…

Cited by 0SourceScholar
2023

LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

NeurIPS 2023spotlight

Building agents based on tree-search planning capabilities with learned models has achieved remarkable success in classic decision-making problems, such as Go and Atari. However, it has been deemed challenging or even infeasible to extend Monte Carlo Tree Search (MCTS) based algorithms to diverse re…