1 citations · 1 across the 8 of their papers we have counts for
8 papers
The Parts Are Greater Than the Sum: Automated Task Sequencing for Efficient Training of Multi-Policy LLMs
Jiajia Tang, Sizhe Yuen, Francisco Gomez Medina +2
Parameter-Efficient Fine-Tuning (PEFT) commonly adapts large language models using a single shared Low-Rank Adapter (LoRA). This shared optimization space often suffers from interf…
Intrinsic Memory Agents: Heterogeneous Multi-Agent LLM Systems through Structured Contextual Memory
Sizhe Yuen, Francisco Gomez Medina, Ting Su +2
Multi-agent systems built on Large Language Models (LLMs) show exceptional promise for complex collaborative problem-solving, yet they face fundamental challenges stemming from con…
HAVA: Hybrid Approach to Value-Alignment through Reward Weighing for Reinforcement Learning
Kryspin Varys, Federico Cerutti, Adam Sobey +1
Our society is governed by a set of norms which together bring about the values we cherish such as safety, fairness or trustworthiness. The goal of value-alignment is to create age…
Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks
Sizhe Yuen, Ting Su, Ziyang Wang +2
A question-answering (QA) system is to search suitable answers within a knowledge base. Current QA systems struggle with queries requiring complex reasoning or real-time knowledge…
Collaborating in a competitive world: Heterogeneous Multi-Agent Decision Making in Symbiotic Supply Chain Environments
Wan Wang, Haiyan Wang, Adam J. Sobey
Supply networks require collaboration in a competitive environment. To achieve this, nodes in the network often form symbiotic relationships as they can be adversely effected by th…
CHIRPs: Change-Induced Regret Proxy metrics for Lifelong Reinforcement Learning
John Birkbeck, Adam Sobey, Federico Cerutti +2
Reinforcement learning (RL) agents are costly to train and fragile to environmental changes. They often perform poorly when there are many changing tasks, prohibiting their widespr…
Speaking Your Language: Spatial Relationships in Interpretable Emergent Communication
Olaf Lipinski, Adam J. Sobey, Federico Cerutti +1
Effective communication requires the ability to refer to specific parts of an observation in relation to others. While emergent communication literature shows success in developing…
Agent based modelling for continuously varying supply chains
Wan Wang, Haiyan Wang, Adam J. Sobey
Problem definition: Supply chains are constantly evolving networks. Reinforcement learning is increasingly proposed as a solution to provide optimal control of these networks. Acad…