1 code implementation • 10 Jan 2023 • Francesco Meggetto, Crawford Revie, John Levine, Yashar Moshfeghi
In this paper, we study the utility of users' historical data for the task of sequentially predicting users' skipping behaviour.
no code implementations • 26 May 2019 • Damien Anderson, Cristina Guerrero-Romero, Diego Perez-Liebana, Philip Rodgers, John Levine
Ensemble Decision Systems offer a unique form of decision making that allows a collection of algorithms to reason together about a problem.
no code implementations • 24 Apr 2019 • Juan Leni, John Levine, John Quigley
We propose a method, Harsanyi-Counterfactual Regret Minimization, to solve two-player zero-sum extensive-form games with arbitrary payoff distribution models.
no code implementations • 15 Nov 2018 • Juan Leni, John Levine, John Quigley
We study the emergence of communication in multiagent adversarial settings inspired by the classic Imitation game.
1 code implementation • 9 Sep 2018 • Matthew Stephenson, Damien Anderson, Ahmed Khalifa, John Levine, Jochen Renz, Julian Togelius, Christoph Salge
This paper introduces an information-theoretic method for selecting a subset of problems which gives the most information about a group of problem-solving algorithms.
no code implementations • 31 Jan 2018 • Damien Anderson, Matthew Stephenson, Julian Togelius, Christian Salge, John Levine, Jochen Renz
Deceptive games are games where the reward structure or other aspects of the game are designed to lead the agent away from a globally optimal policy.
1 code implementation • 21 Jun 2017 • Philip Rodgers, John Levine
This paper introduces a new framework for real-time decision making in video games.