Dynamic Adaptation and Opponent Exploitation in Computer Poker
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[1] Tuomas Sandholm,et al. Safe and Nested Subgame Solving for Imperfect-Information Games , 2017, NIPS.
[2] Michael H. Bowling,et al. Data Biased Robust Counter Strategies , 2009, AISTATS.
[3] Risto Miikkulainen,et al. Evolving opponent models for Texas Hold 'Em , 2008, 2008 IEEE Symposium On Computational Intelligence and Games.
[4] Kevin B. Korb,et al. Bayesian Poker , 1999, UAI.
[5] Michael H. Bowling,et al. Computing Robust Counter-Strategies , 2007, NIPS.
[6] Michael H. Bowling,et al. Bayes' Bluff: Opponent Modelling in Poker , 2005, UAI 2005.
[7] Kurt Driessens,et al. Bayes-Relational Learning of Opponent Models from Incomplete Information in No-Limit Poker , 2008, AAAI.
[8] Sam Ganzfried. Bayesian Opponent Exploitation in Imperfect-Information Games , 2018, 2018 IEEE Conference on Computational Intelligence and Games (CIG).
[9] Tuomas Sandholm,et al. Game theory-based opponent modeling in large imperfect-information games , 2011, AAMAS.
[10] Jürgen Schmidhuber,et al. LSTM: A Search Space Odyssey , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[11] Darse Billings. Algorithms and assessment in computer poker , 2006 .
[12] Jonathan Schaeffer,et al. Opponent Modeling in Poker , 1998, AAAI/IAAI.
[13] Tuomas Sandholm,et al. Safe Opponent Exploitation , 2015, ACM Trans. Economics and Comput..
[14] Marc Lanctot,et al. Computing Approximate Nash Equilibria and Robust Best-Responses Using Sampling , 2011, J. Artif. Intell. Res..
[15] Ian D. Watson,et al. A statistical exploitation module for Texas Hold'em: And it's benefits when used with an approximate nash equilibrium strategy , 2013, 2013 IEEE Conference on Computational Inteligence in Games (CIG).
[16] Kevin Waugh,et al. DeepStack: Expert-Level Artificial Intelligence in No-Limit Poker , 2017, ArXiv.
[17] Jonathan Schaeffer,et al. Improved Opponent Modeling in Poker , 2000 .
[18] Risto Miikkulainen,et al. Evolving Adaptive Poker Players for Effective Opponent Exploitation , 2017, AAAI Workshops.
[19] Neil Burch,et al. Heads-up limit hold’em poker is solved , 2015, Science.
[20] Tuomas Sandholm,et al. Hierarchical Abstraction, Distributed Equilibrium Computation, and Post-Processing, with Application to a Champion No-Limit Texas Hold'em Agent , 2015, AAAI Workshop: Computer Poker and Imperfect Information.
[21] Omer Ekmekci,et al. Learning Strategies for Opponent Modeling in Poker , 2013, AAAI 2013.
[22] Luís Paulo Reis,et al. Identifying Players Strategies in No Limit Texas Holdém Poker through the Analysis of Individual Moves , 2013, ArXiv.
[23] Michael H. Bowling,et al. Online implicit agent modelling , 2013, AAMAS.
[24] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[25] Michael H. Bowling,et al. Eqilibrium Approximation Quality of Current No-Limit Poker Bots , 2016, AAAI Workshops.
[26] Michael H. Bowling,et al. Regret Minimization in Games with Incomplete Information , 2007, NIPS.
[27] Risto Miikkulainen,et al. Evolving Neural Networks through Augmenting Topologies , 2002, Evolutionary Computation.
[28] Tuomas Sandholm,et al. Solving two-person zero-sum repeated games of incomplete information , 2008, AAMAS.