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ORCIDAAAI Workshop: Learning for General Competency in Video Games 2015: Austin, Texas, USA
- Michael Bowling, Marc G. Bellemare, Erik Talvitie, Joel Veness, Marlos C. Machado:
Learning for General Competency in Video Games, Papers from the 2015 AAAI Workshop, Austin, Texas, USA, January 26, 2015. AAAI Technical Report WS-15-10, AAAI Press 2015, ISBN 978-1-57735-721-6 - Bernardo Ávila Pires, Csaba Szepesvári:
Pathological Effects of Variance on Classification-Based Policy Iteration. - Miroslav Bogdanovic, Dejan Markovikj, Misha Denil, Nando de Freitas:
Deep Apprenticeship Learning for Playing Video Games. - Alexander Braylan, Mark Hollenbeck, Elliot Meyerson, Risto Miikkulainen:
Frame Skip Is a Powerful Parameter for Learning to Play Atari. - Gabriel Victor de la Cruz, Bei Peng, Walter Stephen Lasecki, Matthew Edmund Taylor:
Generating Real-Time Crowd Advice to Improve Reinforcement Learning Agents. - Matthew J. Hausknecht, Peter Stone:
The Impact of Determinism on Learning Atari 2600 Games. - Nir Lipovetzky, Miquel Ramírez, Hector Geffner:
Classical Planning Algorithms on the Atari Video Games. - Marlos C. Machado, Sriram Srinivasan, Michael H. Bowling:
Domain-Independent Optimistic Initialization for Reinforcement Learning. - Timothy A. Mann, Daniel J. Mankowitz, Shie Mannor:
Learning When to Switch between Skills in a High Dimensional Domain. - Vaishnavh Nagarajan, Leandro Soriano Marcolino, Milind Tambe:
Every Team Makes Mistakes: An Initial Report on Predicting Failure in Teamwork. - Erik Talvitie, Michael H. Bowling:
Pairwise Relative Offset Features for Atari 2600 Games.
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