1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.AI2025★ 1 cited
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
Alberto Castagna
Reinforcement Learning (RL) enables an intelligent agent to optimise its performance in a task by continuously taking action from an observed state and receiving a feedback from th…
cs.LG2023★ 1 cited
Expert-Free Online Transfer Learning in Multi-Agent Reinforcement Learning
Alberto Castagna, Ivana Dusparic
Transfer learning in Reinforcement Learning (RL) has been widely studied to overcome training issues of Deep-RL, i.e., exploration cost, data availability and convergence time, by…
cs.LG2021
Multi-Agent Transfer Learning in Reinforcement Learning-Based Ride-Sharing Systems
Alberto Castagna, Ivana Dusparic
Reinforcement learning (RL) has been used in a range of simulated real-world tasks, e.g., sensor coordination, traffic light control, and on-demand mobility services. However, real…