Toward green and human-like artificial intelligence: A complete survey on contemporary few-shot learning approaches
Despite deep learning's widespread success, its data-hungry and computationally
expensive nature makes it impractical for many data-constrained real-world applications …
expensive nature makes it impractical for many data-constrained real-world applications …
Embodied AI-Enhanced Vehicular Networks: An Integrated Large Language Models and Reinforcement Learning Method
This paper investigates adaptive transmission strategies in embodied AI-enhanced
vehicular networks by integrating large language models (LLMs) for semantic information …
vehicular networks by integrating large language models (LLMs) for semantic information …
Neuromodulated Meta-Learning
Humans excel at adapting perceptions and actions to diverse environments, enabling
efficient interaction with the external world. This adaptive capability relies on the biological …
efficient interaction with the external world. This adaptive capability relies on the biological …
[图书][B] Meta-Reinforcement Learning: Algorithms and Applications
EZ Liu - 2023 - search.proquest.com
Reinforcement learning from scratch often requires a tremendous number of samples to
learn complex tasks, but many real-world applications demand learning from only a few …
learn complex tasks, but many real-world applications demand learning from only a few …
A Combinatorial Approach to Neural Emergent Communication
Z Zhang - arXiv preprint arXiv:2410.18806, 2024 - arxiv.org
Substantial research on deep learning-based emergent communication uses the referential
game framework, specifically the Lewis signaling game, however we argue that successful …
game framework, specifically the Lewis signaling game, however we argue that successful …
Conversational agents in human-machine interaction: reinforcement learning and theory of mind in language modeling
N Brandizzi - 2024 - iris.uniroma1.it
This doctoral thesis addresses the challenges and advancements in the realm of Human-
Machine Interaction, specifically focusing on the agency and misalignment of modern Large …
Machine Interaction, specifically focusing on the agency and misalignment of modern Large …