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Beyond Winning and Losing: Modeling Human Motivations and Behaviors
  Using Inverse Reinforcement Learning
v1v2 (latest)

Beyond Winning and Losing: Modeling Human Motivations and Behaviors Using Inverse Reinforcement Learning

1 July 2018
Baoxiang Wang
Tongfang Sun
X. Zheng
    OffRL
ArXiv (abs)PDFHTML

Papers citing "Beyond Winning and Losing: Modeling Human Motivations and Behaviors Using Inverse Reinforcement Learning"

2 / 2 papers shown
Approximating the Manifold Structure of Attributed Incentive Salience
  from Large Scale Behavioural Data. A Representation Learning Approach Based
  on Artificial Neural Networks
Approximating the Manifold Structure of Attributed Incentive Salience from Large Scale Behavioural Data. A Representation Learning Approach Based on Artificial Neural Networks
Valerio Bonometti
Mathieu J. Ruiz
Anders Drachen
Alex R. Wade
CML
180
0
0
03 Aug 2021
DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker
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 Bradley Johanson
Michael Bowling
BDL
675
988
0
06 Jan 2017
1
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