Diffusion model is an effective planner and data synthesizer for multi-task reinforcement learning

H He, C Bai, K Xu, Z Yang, W Zhang… - Advances in neural …, 2023 - proceedings.neurips.cc
Diffusion models have demonstrated highly-expressive generative capabilities in vision and
NLP. Recent studies in reinforcement learning (RL) have shown that diffusion models are …

A Survey of Machine Learning for Urban Decision Making: Applications in Planning, Transportation, and Healthcare

Y Zheng, Q Hao, J Wang, C Gao, J Chen, D **… - ACM Computing …, 2024 - dl.acm.org
Develo** smart cities is vital for ensuring sustainable development and improving human
well-being. One critical aspect of building smart cities is designing intelligent methods to …

[PDF][PDF] Large Decision Models.

W Zhang - IJCAI, 2023 - ijcai.org
Over recent decades, sequential decision-making tasks are mostly tackled with expert
systems and reinforcement learning. However, these methods are still incapable of being …

Reinforcing LLM Agents via Policy Optimization with Action Decomposition

M Wen, Z Wan, J Wang, W Zhang… - The Thirty-eighth Annual …, 2024 - openreview.net
Language models as intelligent agents push the boundaries of sequential decision-making
agents but struggle with limited knowledge of environmental dynamics and exponentially …