209 citations · 595 across the 30 of their papers we have counts for
33 papers
Cognitive Effects in Large Language Models
Jonathan Shaki, Sarit Kraus, Michael Wooldridge
Large Language Models (LLMs) such as ChatGPT have received enormous attention over the past year and are now used by hundreds of millions of people every day. The rapid adoption of…
Some challenges of calibrating differentiable agent-based models
Arnau Quera-Bofarull, Joel Dyer, Anisoara Calinescu +1
Agent-based models (ABMs) are a promising approach to modelling and reasoning about complex systems, yet their application in practice is impeded by their complexity, discrete natu…
Bayesian calibration of differentiable agent-based models
Arnau Quera-Bofarull, Ayush Chopra, Anisoara Calinescu +2
Agent-based modelling (ABMing) is a powerful and intuitive approach to modelling complex systems; however, the intractability of ABMs' likelihood functions and the non-differentiab…
Cooperative Concurrent Games
Julian Gutierrez, Szymon Kowara, Sarit Kraus +2
In rational verification, the aim is to verify which temporal logic properties will obtain in a multi-agent system, under the assumption that agents ("players") in the system choos…
On the Complexity of Rational Verification
Julian Gutierrez, Muhammad Najib, Giuseppe Perelli +1
Rational verification refers to the problem of checking which temporal logic properties hold of a concurrent multiagent system, under the assumption that agents in the system choos…
Multiagent Model-based Credit Assignment for Continuous Control
Dongge Han, Chris Xiaoxuan Lu, Tomasz Michalak +1
Deep reinforcement learning (RL) has recently shown great promise in robotic continuous control tasks. Nevertheless, prior research in this vein center around the centralized learn…