Search Results for author:
Found 9 papers, 4 papers with code
Signal Whisperers: Enhancing Wireless Reception Using DRL-Guided Reflector Arrays
This paper presents a novel approach for enhancing wireless signal reception through self-adjustable metallic surfaces, termed reflectors, which are guided by deep reinforcement learning (DRL).
Novelty-Guided Data Reuse for Efficient and Diversified Multi-Agent Reinforcement Learning
Recently, deep Multi-Agent Reinforcement Learning (MARL) has demonstrated its potential to tackle complex cooperative tasks, pushing the boundaries of AI in collaborative environments.
AutoFLUKA: A Large Language Model Based Framework for Automating Monte Carlo Simulations in FLUKA
This study explores the potential of Large Language Models (LLMs) and AI agents to address these limitations.
Guiding Wireless Signals with Arrays of Metallic Linear Fresnel Reflectors: A Low-cost, Frequency-versatile, and Practical Approach
This study presents a novel mechanical metallic reflector array to guide wireless signals to the point of interest, thereby enhancing received signal quality.
World Models with Hints of Large Language Models for Goal Achieving
By assigning higher intrinsic rewards to samples that align with the hints outlined by the language model during model rollouts, DLLM guides the agent toward meaningful and efficient exploration.
Exploration and Anti-Exploration with Distributional Random Network Distillation
To address this issue, we introduce the Distributional RND (DRND), a derivative of the RND.
Using Human Feedback to Fine-tune Diffusion Models without Any Reward Model
The direct preference optimization (DPO) method, effective in fine-tuning large language models, eliminates the necessity for a reward model.
Hierarchical Autoencoder-based Lossy Compression for Large-scale High-resolution Scientific Data
Our model achieves a compression ratio of 140 on several benchmark data sets without compromising the reconstruction quality.
ERNAS: An Evolutionary Neural Architecture Search for Magnetic Resonance Image Reconstructions
Magnetic resonance imaging (MRI) is one of the noninvasive imaging modalities that can produce high-quality images.
