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Found 8 papers, 1 papers with code
MetaOpenFOAM: an LLM-based multi-agent framework for CFD
MetaOpenFOAM, as a novel multi-agent collaborations framework, aims to complete CFD simulation tasks with only natural language as input.
Towards Structural Sparse Precoding: Dynamic Time, Frequency, Space, and Power Multistage Resource Programming
This requires multistage optimization for full resource domain dynamic programming.
A Hierarchical Hybrid Learning Framework for Multi-agent Trajectory Prediction
In this paper, we propose a hierarchical hybrid framework of deep learning (DL) and reinforcement learning (RL) for multi-agent trajectory prediction, to cope with the challenge of predicting motions shaped by multi-scale interactions.
Unresolved excess accumulation of myelin-derived cholesterol contributes to scar formation after spinal cord injury
Meanwhile, preventing RCT led to macrophage accumulation and fibrosis in injured peripheral nerves.
Toward UL-DL Rate Balancing: Joint Resource Allocation and Hybrid-Mode Multiple Access for UAV-BS Assisted Communication Systems
To the best of our knowledge, this is the first work to explicitly investigate joint UL-DL optimization for UAV assisted systems under heterogeneous requirements.
A Semi-Blind Multiuser SIMO GFDM System in the Presence of CFOs and IQ Imbalances
A low-complexity semi-blind joint estimation scheme of multiple channels, CFOs and IQ imbalances is proposed.
Lipschitz Bandit Optimization with Improved Efficiency
We consider the Lipschitz bandit optimization problem with an emphasis on practical efficiency.
Stochastic Lipschitz Q-Learning
To the best of our knowledge, this is the first analysis in the model-free setting whose established regret matches the lower bound up to a logarithmic factor.
