NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (21)

cs.LG2016

Learning Purposeful Behaviour in the Absence of Rewards

Marlos C. Machado, Michael Bowling

cs.GT2019

Solving Large Extensive-Form Games with Strategy Constraints

Trevor Davis, Kevin Waugh, Michael Bowling

cs.AI2014

Solving Games with Functional Regret Estimation

Kevin Waugh, Dustin Morrill, J. Andrew Bagnell +1

cs.LG2017

A Laplacian Framework for Option Discovery in Reinforcement Learning

Marlos C. Machado, Marc G. Bellemare, Michael Bowling

cs.LG2013

A Randomized Mirror Descent Algorithm for Large Scale Multiple Kernel Learning

Arash Afkanpour, András György, Csaba Szepesvári +1

cs.LG2014

Domain-Independent Optimistic Initialization for Reinforcement Learning

Marlos C. Machado, Sriram Srinivasan, Michael Bowling

cs.GT2019

Low-Variance and Zero-Variance Baselines for Extensive-Form Games

Trevor Davis, Martin Schmid, Michael Bowling

cs.AI2017

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

Matej Moravčík, Martin Schmid, Neil Burch +7

cs.LG2016

State of the Art Control of Atari Games Using Shallow Reinforcement Learning

Yitao Liang, Marlos C. Machado, Erik Talvitie +1

cs.GT2014

Solving Imperfect Information Games Using Decomposition

Neil Burch, Michael Johanson, Michael Bowling

cs.GT2018

Variance Reduction in Monte Carlo Counterfactual Regret Minimization (VR-MCCFR) for Extensive Form Games using Baselines

Martin Schmid, Neil Burch, Marc Lanctot +3

cs.AI2017

AIVAT: A New Variance Reduction Technique for Agent Evaluation in Imperfect Information Games

Neil Burch, Martin Schmid, Matej Moravčík +1

cs.IT2012

Partition Tree Weighting

Joel Veness, Martha White, Michael Bowling +1

cs.AI2019

The Effect of Planning Shape on Dyna-style Planning in High-dimensional State Spaces

G. Zacharias Holland, Erin J. Talvitie, Michael Bowling

cs.LG2011

Alignment Based Kernel Learning with a Continuous Set of Base Kernels

Arash Afkanpour, Csaba Szepesvari, Michael Bowling

cs.LG2017

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents

Marlos C. Machado, Marc G. Bellemare, Erik Talvitie +3

cs.GT2017

Equilibrium Approximation Quality of Current No-Limit Poker Bots

Viliam Lisy, Michael Bowling

cs.IT2011

Context Tree Switching

Joel Veness, Kee Siong Ng, Marcus Hutter +1

cs.AI2012

On Local Regret

Michael Bowling, Martin Zinkevich

cs.GT2012

No-Regret Learning in Extensive-Form Games with Imperfect Recall

Marc Lanctot, Richard Gibson, Neil Burch +2

cs.AI2013

The Arcade Learning Environment: An Evaluation Platform for General Agents

Marc G. Bellemare, Yavar Naddaf, Joel Veness +1