no code implementations • 26 Apr 2020 • Najma Mathema, Michael A. Goodrich, Jacob W. Crandall
The obtained results show that the proposed Bayesian approach is well suited for modeling agents in two-player repeated games.
no code implementations • 23 Jul 2019 • Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy
Past research has studied two approaches to utilise predefined policy sets in repeated interactions: as experts, to dictate our own actions, and as types, to characterise the behaviour of other agents.
no code implementations • 10 Jul 2019 • Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy
To address this problem, researchers have studied learning algorithms which compute posterior beliefs over a hypothesised set of policies, based on the observed actions of the other agents.
no code implementations • 12 Sep 2017 • Wen Shen, Jacob W. Crandall, Ke Yan, Cristina V. Lopes
We introduce a heuristic algorithm to dynamically compute information-disclosure policies for the entrepreneur, followed by an empirical evaluation to demonstrate its competitiveness over the widely-adopted immediate-disclosure policy.
no code implementations • 7 Aug 2017 • Wen Shen, Alanoud Al Khemeiri, Abdulla Almehrezi, Wael Al Enezi, Iyad Rahwan, Jacob W. Crandall
As in the study of political systems in which governments regulate human societies, our studies analyze how interactions between HARE and regulators are impacted by regulatory power and individual (robot or agent) autonomy.
no code implementations • 17 Mar 2017 • Jacob W. Crandall, Mayada Oudah, Tennom, Fatimah Ishowo-Oloko, Sherief Abdallah, Jean-François Bonnefon, Manuel Cebrian, Azim Shariff, Michael A. Goodrich, Iyad Rahwan
Here, we combine a state-of-the-art machine-learning algorithm with novel mechanisms for generating and acting on signals to produce a new learning algorithm that cooperates with people and other machines at levels that rival human cooperation in a variety of two-player repeated stochastic games.
no code implementations • 7 Mar 2016 • Wen Shen, Cristina V. Lopes, Jacob W. Crandall
With proper management, Autonomous Mobility-on-Demand (AMoD) systems have great potential to satisfy the transport demands of urban populations by providing safe, convenient, and affordable ridesharing services.
no code implementations • 28 Jul 2015 • Stefano V. Albrecht, Jacob W. Crandall, Subramanian Ramamoorthy
The idea is to hypothesise a set of types, each specifying a possible behaviour for the other agents, and to plan our own actions with respect to those types which we believe are most likely, given the observed actions of the agents.
no code implementations • 30 Sep 2014 • Jacob W. Crandall
In repeated stochastic games (RSGs), an agent must quickly adapt to the behavior of previously unknown associates, who may themselves be learning.