Michael Johanson

According to our database, Michael Johanson authored at least 27 papers between 2003 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Melting Pot 2.0.

John P. Agapiou, Alexander Sasha Vezhnevets, Edgar A. Duéñez-Guzmán, Jayd Matyas, Yiran Mao, Peter Sunehag, Raphael Köster, Udari Madhushani, Kavya Kopparapu, Ramona Comanescu, DJ Strouse, Michael Bradley Johanson, Sukhdeep Singh, Julia Haas, Igor Mordatch, Dean Mobbs, Joel Z. Leibo

CoRR, 2022

Emergent Bartering Behaviour in Multi-Agent Reinforcement Learning.

Michael Bradley Johanson, Edward Hughes, Finbarr Timbers, Joel Z. Leibo

CoRR, 2022

The Frost Hollow Experiments: Pavlovian Signalling as a Path to Coordination and Communication Between Agents.

Patrick M. Pilarski, Andrew Butcher, Elnaz Davoodi, Michael Bradley Johanson, Dylan J. A. Brenneis, Adam S. R. Parker, Leslie Acker, Matthew M. Botvinick, Joseph Modayil, Adam White

CoRR, 2022

Pavlovian Signalling with General Value Functions in Agent-Agent Temporal Decision Making.

Andrew Butcher, Michael Bradley Johanson, Elnaz Davoodi, Dylan J. A. Brenneis, Leslie Acker, Adam S. R. Parker, Adam White, Joseph Modayil, Patrick M. Pilarski

CoRR, 2022

2021

Assessing Human Interaction in Virtual Reality With Continually Learning Prediction Agents Based on Reinforcement Learning Algorithms: A Pilot Study.

Dylan J. A. Brenneis, Adam S. R. Parker, Michael Bradley Johanson, Andrew Butcher, Elnaz Davoodi, Leslie Acker, Matthew M. Botvinick, Joseph Modayil, Adam White, Patrick M. Pilarski

CoRR, 2021

2020

Negotiating team formation using deep reinforcement learning.

Yoram Bachrach, Richard Everett, Edward Hughes, Angeliki Lazaridou, Joel Z. Leibo, Marc Lanctot, Michael Johanson, Wojciech M. Czarnecki, Thore Graepel

Artif. Intell., 2020

2019

Learned human-agent decision-making, communication and joint action in a virtual reality environment.

Patrick M. Pilarski, Andrew Butcher, Michael Johanson, Matthew M. Botvinick, Andrew Bolt, Adam S. R. Parker

CoRR, 2019

2017

DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker.

Matej Moravcík, Martin Schmid, Neil Burch, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh, Michael Johanson, Michael H. Bowling

CoRR, 2017

Heads-up limit hold'em poker is solved.

Michael Bowling, Neil Burch, Michael Johanson, Oskari Tammelin

Commun. ACM, 2017

2015

Solving Heads-Up Limit Texas Hold'em.

Oskari Tammelin, Neil Burch, Michael Johanson, Michael Bowling

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2014

Asymmetric abstractions for adversarial settings.

Nolan Bard, Michael Johanson, Michael H. Bowling

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Solving Imperfect Information Games Using Decomposition.

Neil Burch, Michael Johanson, Michael Bowling

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Measuring the Size of Large No-Limit Poker Games

Michael Johanson

CoRR, 2013

The AAAI-13 Conference Workshops.

Vikas Agrawal, Christopher Archibald, Mehul Bhatt, Hung Bui, Diane J. Cook, Juan Cortés, Christopher W. Geib, Vibhav Gogate, Hans W. Guesgen, Dietmar Jannach, Michael Johanson, Kristian Kersting, George Dimitri Konidaris, Lars Kotthoff, Martin Michalowski, Sriraam Natarajan, Barry O'Sullivan, Marc Pickett, Vedran Podobnik, David Poole, Lokendra Shastri, Amarda Shehu, Gita Sukthankar

AI Mag., 2013

Evaluating state-space abstractions in extensive-form games.

Michael Johanson, Neil Burch, Richard Anthony Valenzano, Michael Bowling

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

Online implicit agent modelling.

Nolan Bard, Michael Johanson, Neil Burch, Michael Bowling

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012

Efficient Nash equilibrium approximation through Monte Carlo counterfactual regret minimization.

Michael Johanson, Nolan Bard, Marc Lanctot, Richard G. Gibson, Michael Bowling

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Finding Optimal Abstract Strategies in Extensive-Form Games.

Michael Johanson, Nolan Bard, Neil Burch, Michael Bowling

Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011

Accelerating Best Response Calculation in Large Extensive Games.

Michael Johanson, Kevin Waugh, Michael H. Bowling, Martin Zinkevich

Proceedings of the IJCAI 2011, 2011

2009

Data Biased Robust Counter Strategies.

Michael Johanson, Michael H. Bowling

Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

A Practical Use of Imperfect Recall.

Kevin Waugh, Martin Zinkevich, Michael Johanson, Morgan Kan, David Schnizlein, Michael H. Bowling

Proceedings of the Eighth Symposium on Abstraction, Reformulation, and Approximation, 2009

A demonstration of the Polaris poker system.

Michael H. Bowling, Nicholas Abou Risk, Nolan Bard, Darse Billings, Neil Burch, Joshua Davidson, John Alexander Hawkin, Robert Holte, Michael Johanson, Morgan Kan, Bryce Paradis, Jonathan Schaeffer, David Schnizlein, Duane Szafron, Kevin Waugh, Martin Zinkevich

Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

2008

Strategy evaluation in extensive games with importance sampling.

Michael H. Bowling, Michael Johanson, Neil Burch, Duane Szafron

Proceedings of the Machine Learning, 2008

2007

Regret Minimization in Games with Incomplete Information.

Martin Zinkevich, Michael Johanson, Michael H. Bowling, Carmelo Piccione

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

Computing Robust Counter-Strategies.

Michael Johanson, Martin Zinkevich, Michael H. Bowling

Proceedings of the Advances in Neural Information Processing Systems 20, 2007

2005

Solving 7x7 Hex with domination, fill-in, and virtual connections.

Ryan Hayward, Yngvi Björnsson, Michael Johanson, Morgan Kan, Nathan Po, Jack van Rijswijck

Theor. Comput. Sci., 2005

2003

Solving 7x7 Hex: Virtual Connections and Game-State Reduction.

Ryan Hayward, Yngvi Björnsson, Michael Johanson, Morgan Kan, Nathan Po, Jack van Rijswijck

Proceedings of the Advances in Computer Games, 2003