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Diffusion model is an effective planner and data synthesizer for multi-task reinforcement learning
Diffusion models have demonstrated highly-expressive generative capabilities in vision and
NLP. Recent studies in reinforcement learning (RL) have shown that diffusion models are …
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
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 …
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 …
systems and reinforcement learning. However, these methods are still incapable of being …
Reinforcing LLM Agents via Policy Optimization with Action Decomposition
Language models as intelligent agents push the boundaries of sequential decision-making
agents but struggle with limited knowledge of environmental dynamics and exponentially …
agents but struggle with limited knowledge of environmental dynamics and exponentially …