3 citations · 3 across the 3 of their papers we have counts for
3 papers
Fetch.ai: An Architecture for Modern Multi-Agent Systems
Michael J. Wooldridge, Attila Bagoly, Jonathan J. Ward +2
Recent surges in LLM-driven intelligent systems largely overlook decades of foundational multi-agent systems (MAS) research, resulting in frameworks with critical limitations such…
Automated Planning for Optimal Data Pipeline Instantiation
Leonardo Rosa Amado, Adriano Vogel, Dalvan Griebler +3
Data pipeline frameworks provide abstractions for implementing sequences of data-intensive transformation operators, automating the deployment and execution of such transformations…
Markov Abstractions for PAC Reinforcement Learning in Non-Markov Decision Processes
Alessandro Ronca, Gabriel Paludo Licks, Giuseppe De Giacomo
Our work aims at developing reinforcement learning algorithms that do not rely on the Markov assumption. We consider the class of Non-Markov Decision Processes where histories can…